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<div class="title">regular_tile_iterator_tensor_op_sm70.h</div>  </div>
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<a href="regular__tile__iterator__tensor__op__sm70_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2019, NVIDIA CORPORATION.  All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * Redistribution and use in source and binary forms, with or without modification, are permitted</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> *     * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> *       conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> *     * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> *       conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> *       provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> *     * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *       to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> *       permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS &quot;AS IS&quot; AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>&quot;</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="array_8h.html">cutlass/array.h</a>&quot;</span></div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="matrix__coord_8h.html">cutlass/matrix_coord.h</a>&quot;</span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tensor__ref_8h.html">cutlass/tensor_ref.h</a>&quot;</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="pitch__linear_8h.html">cutlass/layout/pitch_linear.h</a>&quot;</span></div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tensor__op__multiplicand__sm70_8h.html">cutlass/layout/tensor_op_multiplicand_sm70.h</a>&quot;</span></div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="regular__tile__iterator_8h.html">cutlass/transform/threadblock/regular_tile_iterator.h</a>&quot;</span></div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;<span class="keyword">namespace </span>transform {</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="keyword">namespace </span>threadblock {</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;<span class="keyword">template</span> &lt;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;  <span class="keyword">typename</span> Shape_,</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;  <span class="keyword">typename</span> Element_,</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;  <span class="keywordtype">int</span> AdvanceRank,</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;  <span class="keyword">typename</span> ThreadMap_,</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;  <span class="keywordtype">int</span> Alignment</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;&gt;</div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html">   68</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;  Shape_,</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;  Element_,</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;  layout::VoltaTensorOpMultiplicandCongruous&lt;sizeof_bits&lt;Element_&gt;::value&gt;,</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;  AdvanceRank,</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;  ThreadMap_,</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;  Alignment&gt; {</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(AdvanceRank == 0 || AdvanceRank == 1,</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    <span class="stringliteral">&quot;Specialization for pitch-linear iterator may along advance along the &quot;</span></div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <span class="stringliteral">&quot;contiguous(rank=0) or strided(rank=1) dimension.&quot;</span>);</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#ab3aa66518f63977689cb282170608992">   81</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#ab3aa66518f63977689cb282170608992">Shape</a> = Shape_;</div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a6ef6f84582618c4f12ba86baaba9f596">   82</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a6ef6f84582618c4f12ba86baaba9f596">Element</a> = Element_;</div><div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#ab8e8585f9bf1619c1642278fc002011a">   83</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCongruous.html">Layout</a> = <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCongruous.html">layout::VoltaTensorOpMultiplicandCongruous&lt;sizeof_bits&lt;Element_&gt;::value</a>&gt;;</div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#ad086804d9a3a327759c8badfb2938ed5">   84</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAdvanceRank = AdvanceRank;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a0adc056cc8ab3d39f8a023085e9ad8c2">   86</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a0adc056cc8ab3d39f8a023085e9ad8c2">Index</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCongruous.html#a53359179aa16d5e938f097a5df36bb71">Layout::Index</a>;</div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#ae4dc48ecdcd3b406b2f1cbdb667a2d4e">   87</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#ae4dc48ecdcd3b406b2f1cbdb667a2d4e">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCongruous.html#aed6da31b1c9467654006afb9154ef4ca">Layout::LongIndex</a>;</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#aa2c94203df087eba466744795d6e3448">   89</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef&lt;Element, Layout&gt;</a>;</div><div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#afdafbc55b339cfb30c53e47b851f20b3">   90</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#afdafbc55b339cfb30c53e47b851f20b3">TensorCoord</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">Layout::TensorCoord</a>;</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a122be1aba9d6ea57d355141842303cc4">   92</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a122be1aba9d6ea57d355141842303cc4">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="structcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_032f88d1be8b209e44a4815c707ba35bb.html">   95</a></span>&#160;  <span class="keyword">struct </span>Detail {</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="structcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_032f88d1be8b209e44a4815c707ba35bb.html#a646a2654342dc0134659cc3eece7f027">   98</a></span>&#160;    <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAccessSizeInBits = 128;</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;      <a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits&lt;Element_&gt;::value</a> * ThreadMap::kElementsPerAccess == kAccessSizeInBits,</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;      <span class="stringliteral">&quot;This iterator requires a policy whose access size is 128bs&quot;</span>);</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="structcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_032f88d1be8b209e44a4815c707ba35bb.html#aebfe1bfa9754f0b067617277e710fd2d">  105</a></span>&#160;    <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kPointerCount = (ThreadMap::Iterations::kStrided &gt; 1 ? 2 : 1);</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;  };</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;  <span class="keyword">using</span> AccessType = Array&lt;Element, Layout::kElementsPerAccess&gt;;</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a9e1c6e07838c14d564324a231b0dbe83">  117</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a9e1c6e07838c14d564324a231b0dbe83">Fragment</a> = Array&lt;Element, ThreadMap::Iterations::kCount * Layout::kElementsPerAccess&gt;;</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;  <span class="comment">// Data members</span></div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a0adc056cc8ab3d39f8a023085e9ad8c2">Index</a> stride_;</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;  AccessType * pointer_[Detail::kPointerCount];</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a0adc056cc8ab3d39f8a023085e9ad8c2">Index</a> byte_offset_;</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a134de9f5c72872a443ce7a051df6f489">  138</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a134de9f5c72872a443ce7a051df6f489">RegularTileIterator</a>(</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> ref,                              </div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;    <span class="keywordtype">int</span> thread_id                               </div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;  ): stride_(ref.stride(0) / <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCongruous.html">Layout</a>::kElementsPerAccess), byte_offset_(0) {</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    <a class="code" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">layout::PitchLinearCoord</a> thread_offset_base = ThreadMap::initial_offset(thread_id);</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; Detail::kPointerCount; ++i) {</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;      <span class="comment">// This is the offset of a thread within a threadblock tile for a specific pointer</span></div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;      <span class="comment">// (units of elements)</span></div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">layout::PitchLinearCoord</a> thread_offset_in_threadblock_tile =</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;        thread_offset_base + <a class="code" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">layout::PitchLinearCoord</a>{0, ThreadMap::Detail::WarpThreadArrangement::kStrided * i};</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;      <span class="comment">// initialize pointer</span></div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;      pointer_[i] = <span class="keyword">reinterpret_cast&lt;</span>AccessType *<span class="keyword">&gt;</span>(ref.<a class="code" href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">data</a>() + ref.<a class="code" href="classcutlass_1_1TensorRef.html#a4166ac2a0754574ac21d5d57d74f34e5">offset</a>(thread_offset_in_threadblock_tile));</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    }</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;  }</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00160"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#aac9653d4906b7727409950813caeb56f">  160</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#aac9653d4906b7727409950813caeb56f">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#ae4dc48ecdcd3b406b2f1cbdb667a2d4e">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160; 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   add_pointer_offset((kAdvanceRank ? Shape::kStrided * stride_ * Layout::kElementsPerAccess : Shape::kContiguous));</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;  }</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00176"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a87c93a9ec91224b0ecfa380470559279">  176</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a87c93a9ec91224b0ecfa380470559279">operator++</a>(<span class="keywordtype">int</span>) {</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> prev(*<span class="keyword">this</span>);</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    this-&gt;<a class="code" href="namespacecutlass.html#a1c7a9e66ca7b5dc7413ea3b8f349530a">operator++</a>();</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    <span class="keywordflow">return</span> prev;</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;  }</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00186"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a54d5221cd27a32f4bfd29cd43160dd94">  186</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a54d5221cd27a32f4bfd29cd43160dd94">add_tile_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#afdafbc55b339cfb30c53e47b851f20b3">TensorCoord</a> <span class="keyword">const</span> &amp;coord) {</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    add_pointer_offset(</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;      coord.contiguous() * Shape::kContiguous / ThreadMap::kElementsPerAccess +</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;      coord.strided() * Shape::kStrided * stride_ * Layout::kElementsPerAccess</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160; 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s &lt; ThreadMap::Iterations::kStrided; ++s) {</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;      AccessType *access_ptr = pointer_[s &amp; 1];</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;      <span class="keywordtype">int</span> stride_idx = (s &amp; ~1);</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;      <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; ThreadMap::Iterations::kContiguous; ++c) {</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160; 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       frag_ptr[access_idx] = *<span class="keyword">reinterpret_cast&lt;</span>AccessType <span class="keyword">const </span>*<span class="keyword">&gt;</span>(access_byte_ptr + byte_offset_);</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;      }</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    }</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;  }</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00225"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#adab44e485f531c6caa8c812d4b6a6946">  225</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#adab44e485f531c6caa8c812d4b6a6946">load</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a9e1c6e07838c14d564324a231b0dbe83">Fragment</a> &amp;frag) {</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    load_with_pointer_offset(frag, 0);</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;  }</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00231"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a6c77ded2a6b2d3e0991f6c49eff57110">  231</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a6c77ded2a6b2d3e0991f6c49eff57110">store_with_pointer_offset</a>(</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a9e1c6e07838c14d564324a231b0dbe83">Fragment</a> <span class="keyword">const</span> &amp;frag,</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a0adc056cc8ab3d39f8a023085e9ad8c2">Index</a> pointer_offset) {</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    AccessType <span class="keyword">const</span> *frag_ptr = <span class="keyword">reinterpret_cast&lt;</span>AccessType <span class="keyword">const </span>*<span class="keyword">&gt;</span>(&amp;frag);</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a0adc056cc8ab3d39f8a023085e9ad8c2">Index</a> vec_pointer_offset = pointer_offset / ThreadMap::kElementsPerAccess;</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> s = 0; s &lt; ThreadMap::Iterations::kStrided; ++s) {</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;      AccessType *access_ptr = pointer_[s &amp; 1];</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;      <span class="keywordtype">int</span> stride_idx = (s &amp; ~1);</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;      <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; ThreadMap::Iterations::kContiguous; ++c) {</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;        <span class="keywordtype">int</span> access_offset = stride_idx * ThreadMap::Delta::kStrided * stride_ +</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;          c * ThreadMap::Delta::kContiguous / ThreadMap::kElementsPerAccess +</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;          vec_pointer_offset;</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;        <span class="keywordtype">int</span> access_idx = c + s * ThreadMap::Iterations::kContiguous;</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160; 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 <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#ace7bfa07e726995c4c5478aedb432fd4">store</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a9e1c6e07838c14d564324a231b0dbe83">Fragment</a> <span class="keyword">const</span> &amp;frag) {</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    store_with_pointer_offset(frag, 0);</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;  }</div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;};</div><div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;</div><div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;<span class="comment">// Tile Iterator specialized for column-major congruous TensorOp formats.</span></div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;<span class="comment"></span><span class="keyword">template</span> &lt;</div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;  <span class="keyword">typename</span> Shape_,</div><div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;  <span class="keyword">typename</span> Element_,</div><div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;  <span class="keywordtype">int</span> AdvanceRank,</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;  <span class="keyword">typename</span> ThreadMap_,</div><div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;  <span class="keywordtype">int</span> Alignment</div><div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;&gt;</div><div class="line"><a name="l00284"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html">  284</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;  Shape_,</div><div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;  Element_,</div><div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;  layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt;sizeof_bits&lt;Element_&gt;::value&gt;,</div><div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;  AdvanceRank,</div><div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;  ThreadMap_,</div><div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;  Alignment&gt; {</div><div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;</div><div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(AdvanceRank == 0 || AdvanceRank == 1,</div><div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;    <span class="stringliteral">&quot;Specialization for column-major iterator may along advance along the &quot;</span></div><div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;    <span class="stringliteral">&quot;columns(rank=0) or rows(rank=1) dimension.&quot;</span>);</div><div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;</div><div class="line"><a name="l00297"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a937e53430457bdd80a2e9b770c76a163">  297</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a937e53430457bdd80a2e9b770c76a163">Shape</a> = Shape_;</div><div class="line"><a name="l00298"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a767897c840aab2389335067cdbdc1b02">  298</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a767897c840aab2389335067cdbdc1b02">Element</a> = Element_;</div><div class="line"><a name="l00299"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a19fbc5db6a9793730cf7b6ca230f9120">  299</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCongruous.html">Layout</a> = <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCongruous.html">layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt;sizeof_bits&lt;Element_&gt;::value</a>&gt;;</div><div class="line"><a name="l00300"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a6920500c99e0ad2170ef207460656062">  300</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAdvanceRank = AdvanceRank;</div><div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;</div><div class="line"><a name="l00302"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#aa497c5741e2c1a12525fd100478ec34b">  302</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#aa497c5741e2c1a12525fd100478ec34b">Index</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCongruous.html#a411d7c9444f2d66bf8b8f27d3a6f1226">Layout::Index</a>;</div><div class="line"><a name="l00303"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a64c6d70cc0b40ffd47d84fffb8fc926c">  303</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a64c6d70cc0b40ffd47d84fffb8fc926c">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCongruous.html#ac398ab0e518a8e8ff09ca0ee2d58be8c">Layout::LongIndex</a>;</div><div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;</div><div class="line"><a name="l00305"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#ab8d6ae8c0598b770f6af9cd8551627ab">  305</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef&lt;Element, Layout&gt;</a>;</div><div class="line"><a name="l00306"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#aab27c0089d08ef6168418240f0ad918f">  306</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#aab27c0089d08ef6168418240f0ad918f">TensorCoord</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1MatrixCoord.html">Layout::TensorCoord</a>;</div><div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;</div><div class="line"><a name="l00308"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a467c23b169f239149bac34a70210196e">  308</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a467c23b169f239149bac34a70210196e">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> = <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;    <a class="code" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape&lt;Shape::kRow, Shape::kColumn&gt;</a>,</div><div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a767897c840aab2389335067cdbdc1b02">Element</a>,</div><div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;    <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCongruous.html">layout::VoltaTensorOpMultiplicandCongruous&lt;sizeof_bits&lt;Element_&gt;::value</a>&gt;,</div><div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;    (kAdvanceRank == 0 ? 0 : 1),</div><div class="line"><a name="l00316"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a7a277667005702af19a2a1291694d9f5">  316</a></span>&#160;    ThreadMap_&gt;;</div><div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;</div><div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;</div><div class="line"><a name="l00321"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a20bbd62f67f815c5b06d2310b3a97083">  321</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a20bbd62f67f815c5b06d2310b3a97083">Fragment</a> = Array&lt;Element, UnderlyingIterator::Fragment::kElements&gt;;</div><div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;</div><div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;</div><div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> iterator_;</div><div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;</div><div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00332"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#af66b203bacaabdfe217f003dc256ba7a">  332</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#af66b203bacaabdfe217f003dc256ba7a">RegularTileIterator</a>(</div><div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;    <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> ref,                              </div><div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;    <span class="keywordtype">int</span> thread_id                               </div><div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;  ): iterator_({ref.<a class="code" href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">data</a>(), ref.<a class="code" href="classcutlass_1_1TensorRef.html#a191e88bc0fb310be655d700e937ab97c">stride</a>()}, thread_id) {</div><div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;</div><div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;  }</div><div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;</div><div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00341"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a91fd869836c925de05514626b47ff5d5">  341</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a91fd869836c925de05514626b47ff5d5">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a64c6d70cc0b40ffd47d84fffb8fc926c">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;    iterator_.add_pointer_offset(pointer_offset);</div><div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;  }</div><div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;</div><div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00347"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a7ef5179297052d9e7cfd601ae4d96be8">  347</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a7ef5179297052d9e7cfd601ae4d96be8">add_tile_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#aab27c0089d08ef6168418240f0ad918f">TensorCoord</a> <span class="keyword">const</span> &amp;coord) {</div><div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;    iterator_.add_tile_offset({coord.row(), coord.column()});</div><div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;  }</div><div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;</div><div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00353"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a712e63fc221198ed9c2e3a3790f235de">  353</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> &amp;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a712e63fc221198ed9c2e3a3790f235de">operator++</a>() {</div><div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;</div><div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;    ++iterator_;</div><div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;    <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;  }</div><div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;</div><div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00361"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a899479086f0e85835ba7e04113e276e5">  361</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a899479086f0e85835ba7e04113e276e5">operator++</a>(<span class="keywordtype">int</span>) {</div><div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;</div><div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> prev(*<span class="keyword">this</span>);</div><div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;    ++iterator_;</div><div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;</div><div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;    <span class="keywordflow">return</span> prev;</div><div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;  }</div><div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;</div><div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00371"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a6d8622732af94302d10263956e0a8366">  371</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a6d8622732af94302d10263956e0a8366">load_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a20bbd62f67f815c5b06d2310b3a97083">Fragment</a> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#aa497c5741e2c1a12525fd100478ec34b">Index</a> pointer_offset) {</div><div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160; 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   <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#aa497c5741e2c1a12525fd100478ec34b">Index</a> pointer_offset) {</div><div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;</div><div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;    iterator_.store_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;  }</div><div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;</div><div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00392"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#ab31eb9b6daebee32538b6f3b5e723185">  392</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#ab31eb9b6daebee32538b6f3b5e723185">store</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a20bbd62f67f815c5b06d2310b3a97083">Fragment</a> <span class="keyword">const</span> &amp;frag) {</div><div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;    store_with_pointer_offset(frag, 0);</div><div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;  }</div><div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;};</div><div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;</div><div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;</div><div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;</div><div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;<span class="keyword">template</span> &lt;</div><div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160; 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 Shape_,</div><div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;  Element_,</div><div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;  layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt;sizeof_bits&lt;Element_&gt;::value&gt;,</div><div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;  AdvanceRank,</div><div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;  ThreadMap_,</div><div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;  Alignment&gt; {</div><div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;</div><div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(AdvanceRank == 0 || AdvanceRank == 1,</div><div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;    <span class="stringliteral">&quot;Specialization for row-major iterator may along advance along the &quot;</span></div><div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;    <span class="stringliteral">&quot;columns(rank=0) or rows(rank=1) dimension.&quot;</span>);</div><div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;</div><div class="line"><a name="l00427"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a5192c591e557e9ebc127d274de64d7d6">  427</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a5192c591e557e9ebc127d274de64d7d6">Shape</a> = Shape_;</div><div class="line"><a name="l00428"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ab2f86883c70195c72277741b26577127">  428</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ab2f86883c70195c72277741b26577127">Element</a> = Element_;</div><div class="line"><a name="l00429"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#abed24036a2294ef781e9f9bb01f80882">  429</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCongruous.html">Layout</a> = <a class="code" href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCongruous.html">layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt;sizeof_bits&lt;Element_&gt;::value</a>&gt;;</div><div class="line"><a name="l00430"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#af6fbc41258d57e4d7a4aac46edf811a3">  430</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAdvanceRank = AdvanceRank;</div><div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;</div><div class="line"><a name="l00432"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a78f8a422b799001f2c42659b012b722c">  432</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a78f8a422b799001f2c42659b012b722c">Index</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCongruous.html#ae9ab9cba1b0b7e8d73677d27aefe4179">Layout::Index</a>;</div><div class="line"><a name="l00433"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#aa5226c5b5f90cf8dc54ba015db3ccd9e">  433</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#aa5226c5b5f90cf8dc54ba015db3ccd9e">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCongruous.html#afefc0ee1313d3771e6ada7dfe5a1e96c">Layout::LongIndex</a>;</div><div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;</div><div class="line"><a name="l00435"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a450d2f6c0aa2e81609110efc4fa5a8df">  435</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef&lt;Element, Layout&gt;</a>;</div><div class="line"><a name="l00436"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#adb157d88385527979083330a7f39e746">  436</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#adb157d88385527979083330a7f39e746">TensorCoord</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1MatrixCoord.html">Layout::TensorCoord</a>;</div><div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;</div><div class="line"><a name="l00438"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#adcc862e0d1925314bfabdcca705ee439">  438</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#adcc862e0d1925314bfabdcca705ee439">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;</div><div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> = <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;    <a class="code" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape&lt;Shape::kColumn, Shape::kRow&gt;</a>,</div><div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ab2f86883c70195c72277741b26577127">Element</a>,</div><div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;    <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCongruous.html">layout::VoltaTensorOpMultiplicandCongruous&lt;sizeof_bits&lt;Element_&gt;::value</a>&gt;,</div><div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;    (kAdvanceRank == 0 ? 1 : 0),</div><div class="line"><a name="l00446"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a9bd837ef8a350447e9ea1aa386cbc284">  446</a></span>&#160;    ThreadMap_&gt;;</div><div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;</div><div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;</div><div class="line"><a name="l00451"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ad89c4d02d6e30efa055e7b4eb92c12be">  451</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ad89c4d02d6e30efa055e7b4eb92c12be">Fragment</a> = Array&lt;Element, UnderlyingIterator::Fragment::kElements&gt;;</div><div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;</div><div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;</div><div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> iterator_;</div><div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;</div><div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;</div><div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00462"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a2b42db145a79615c5eb6a35c92f06048">  462</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a2b42db145a79615c5eb6a35c92f06048">RegularTileIterator</a>(</div><div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;    <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> ref,                              </div><div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;    <span class="keywordtype">int</span> thread_id                               </div><div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;  ): iterator_({ref.<a class="code" href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">data</a>(), ref.<a class="code" href="classcutlass_1_1TensorRef.html#a191e88bc0fb310be655d700e937ab97c">stride</a>()}, thread_id) {</div><div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;</div><div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;  }</div><div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;</div><div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00471"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a346a3d8fa3ad23c1cc6bedf6c4351d83">  471</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a346a3d8fa3ad23c1cc6bedf6c4351d83">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#aa5226c5b5f90cf8dc54ba015db3ccd9e">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;    iterator_.add_pointer_offset(pointer_offset);</div><div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;  }</div><div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;</div><div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00477"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a122e1ce2540ddaee010ec3958b135bc7">  477</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a122e1ce2540ddaee010ec3958b135bc7">add_tile_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#adb157d88385527979083330a7f39e746">TensorCoord</a> <span class="keyword">const</span> &amp;coord) {</div><div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;    iterator_.add_tile_offset({coord.column(), coord.row()});</div><div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;  }</div><div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;</div><div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00483"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a6f6036167ff8e431d14155b12f5863ba">  483</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> &amp;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a6f6036167ff8e431d14155b12f5863ba">operator++</a>() {</div><div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;</div><div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;    ++iterator_;</div><div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;    <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;  }</div><div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;</div><div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00491"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a586fd5ff1f59a2d5ced307162718d4f1">  491</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a586fd5ff1f59a2d5ced307162718d4f1">operator++</a>(<span class="keywordtype">int</span>) {</div><div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;</div><div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> prev(*<span class="keyword">this</span>);</div><div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;    ++iterator_;</div><div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;</div><div class="line"><a name="l00496"></a><span class="lineno">  496</span>&#160;    <span class="keywordflow">return</span> prev;</div><div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;  }</div><div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;</div><div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00501"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ad4cb2c2ac88421643f548f7979cb5672">  501</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ad4cb2c2ac88421643f548f7979cb5672">load_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ad89c4d02d6e30efa055e7b4eb92c12be">Fragment</a> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a78f8a422b799001f2c42659b012b722c">Index</a> pointer_offset) {</div><div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;    iterator_.load_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;  }</div><div class="line"><a name="l00504"></a><span class="lineno">  504</span>&#160;</div><div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00507"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ac23159bd969188e7a0bf7be74c36b4a2">  507</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ac23159bd969188e7a0bf7be74c36b4a2">load</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ad89c4d02d6e30efa055e7b4eb92c12be">Fragment</a> &amp;frag) {</div><div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;    load_with_pointer_offset(frag, 0);</div><div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;  }</div><div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160;</div><div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00513"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a85400ab2e85a66ee6acbc58f43bc93e1">  513</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a85400ab2e85a66ee6acbc58f43bc93e1">store_with_pointer_offset</a>(</div><div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ad89c4d02d6e30efa055e7b4eb92c12be">Fragment</a> <span class="keyword">const</span> &amp;frag,</div><div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a78f8a422b799001f2c42659b012b722c">Index</a> pointer_offset) {</div><div class="line"><a name="l00516"></a><span class="lineno">  516</span>&#160;</div><div class="line"><a name="l00517"></a><span class="lineno">  517</span>&#160;    iterator_.store_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l00518"></a><span class="lineno">  518</span>&#160;  }</div><div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;</div><div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00522"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ac31d072822ffb7772afd92e63a24e7b4">  522</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ac31d072822ffb7772afd92e63a24e7b4">store</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ad89c4d02d6e30efa055e7b4eb92c12be">Fragment</a> <span class="keyword">const</span> &amp;frag) {</div><div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;    store_with_pointer_offset(frag, 0);</div><div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;  }</div><div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160;};</div><div class="line"><a name="l00533"></a><span class="lineno">  533</span>&#160;<span class="keyword">template</span> &lt;</div><div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160;  <span class="keyword">typename</span> Shape_,</div><div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160;  <span class="keyword">typename</span> Element_,</div><div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;  <span class="keywordtype">int</span> AdvanceRank,</div><div class="line"><a name="l00537"></a><span class="lineno">  537</span>&#160;  <span class="keyword">typename</span> ThreadMap_,</div><div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;  <span class="keywordtype">int</span> Alignment</div><div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;&gt;</div><div class="line"><a name="l00540"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html">  540</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;  Shape_,</div><div class="line"><a name="l00542"></a><span class="lineno">  542</span>&#160;  Element_,</div><div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;  layout::VoltaTensorOpMultiplicandBCongruous&lt;sizeof_bits&lt;Element_&gt;::value&gt;,</div><div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;  AdvanceRank,</div><div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;  ThreadMap_,</div><div class="line"><a name="l00546"></a><span class="lineno">  546</span>&#160;  Alignment&gt; {</div><div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00548"></a><span class="lineno">  548</span>&#160;</div><div class="line"><a name="l00549"></a><span class="lineno">  549</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(AdvanceRank == 0 || AdvanceRank == 1,</div><div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;    <span class="stringliteral">&quot;Specialization for pitch-linear iterator may along advance along the &quot;</span></div><div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;    <span class="stringliteral">&quot;contiguous(rank=0) or strided(rank=1) dimension.&quot;</span>);</div><div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;</div><div class="line"><a name="l00553"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ad652b92fa55f51858ed27f41150573da">  553</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ad652b92fa55f51858ed27f41150573da">Shape</a> = Shape_;</div><div class="line"><a name="l00554"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ab587fd6ae9417ca3c2125ef6c4c675c9">  554</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ab587fd6ae9417ca3c2125ef6c4c675c9">Element</a> = Element_;</div><div class="line"><a name="l00555"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a206a652e720a119d51b7037e3b9b9d11">  555</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandBCongruous.html">Layout</a> = <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandBCongruous.html">layout::VoltaTensorOpMultiplicandBCongruous&lt;sizeof_bits&lt;Element_&gt;::value</a>&gt;;</div><div class="line"><a name="l00556"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ae5fae99cc67b23b02aa463a033dedb8c">  556</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAdvanceRank = AdvanceRank;</div><div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;</div><div class="line"><a name="l00558"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#acf73851870e141f73aa1c8c5a251714f">  558</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#acf73851870e141f73aa1c8c5a251714f">Index</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandBCongruous.html#aced549eda6008715c78b461396c81b87">Layout::Index</a>;</div><div class="line"><a name="l00559"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a9ca411260555a8ca68c99c84926a2eb3">  559</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a9ca411260555a8ca68c99c84926a2eb3">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandBCongruous.html#a635537ca830a3f621ed99ab323b1e7f1">Layout::LongIndex</a>;</div><div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;</div><div class="line"><a name="l00561"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a777ee22bc110b648a5e12131a05f86b5">  561</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef&lt;Element, Layout&gt;</a>;</div><div class="line"><a name="l00562"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a7e17a70bb1c1e5ed9a4c873e6d7c128e">  562</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a7e17a70bb1c1e5ed9a4c873e6d7c128e">TensorCoord</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">Layout::TensorCoord</a>;</div><div class="line"><a name="l00563"></a><span class="lineno">  563</span>&#160;</div><div class="line"><a name="l00564"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ae2c03da917e57566ab519a65a3786e22">  564</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ae2c03da917e57566ab519a65a3786e22">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l00565"></a><span class="lineno">  565</span>&#160;</div><div class="line"><a name="l00567"></a><span class="lineno"><a class="line" href="structcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_02d305cfb0b55c6fb236a52cf2240651e.html">  567</a></span>&#160;  <span class="keyword">struct </span>Detail {</div><div class="line"><a name="l00568"></a><span class="lineno">  568</span>&#160;</div><div class="line"><a name="l00570"></a><span class="lineno"><a class="line" href="structcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_02d305cfb0b55c6fb236a52cf2240651e.html#ac40dd2b177f1129a02505a941ddccb08">  570</a></span>&#160;    <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAccessSizeInBits = 128;</div><div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;</div><div class="line"><a name="l00572"></a><span class="lineno">  572</span>&#160;    <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160;      <a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits&lt;Element_&gt;::value</a> * ThreadMap::kElementsPerAccess == kAccessSizeInBits,</div><div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;      <span class="stringliteral">&quot;This iterator requires a policy whose access size is 128bs&quot;</span>);</div><div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;</div><div class="line"><a name="l00577"></a><span class="lineno"><a class="line" href="structcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_02d305cfb0b55c6fb236a52cf2240651e.html#a04b1949d3cfae2a458bbe2d32e41e645">  577</a></span>&#160;    <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kPointerCount = (ThreadMap::Iterations::kStrided &gt; 1 ? 2 : 1);</div><div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;  };</div><div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160;</div><div class="line"><a name="l00580"></a><span class="lineno">  580</span>&#160;</div><div class="line"><a name="l00581"></a><span class="lineno">  581</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00582"></a><span class="lineno">  582</span>&#160;</div><div class="line"><a name="l00584"></a><span class="lineno">  584</span>&#160;  <span class="keyword">using</span> AccessType = Array&lt;Element, Layout::kElementsPerAccess&gt;;</div><div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;</div><div class="line"><a name="l00586"></a><span class="lineno">  586</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;</div><div class="line"><a name="l00589"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a2e23610a2482c75bc33b4a13bbfaf6eb">  589</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a2e23610a2482c75bc33b4a13bbfaf6eb">Fragment</a> = Array&lt;Element, ThreadMap::Iterations::kCount * Layout::kElementsPerAccess&gt;;</div><div class="line"><a name="l00590"></a><span class="lineno">  590</span>&#160;</div><div class="line"><a name="l00591"></a><span class="lineno">  591</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00592"></a><span class="lineno">  592</span>&#160;</div><div class="line"><a name="l00593"></a><span class="lineno">  593</span>&#160; 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 <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#acf73851870e141f73aa1c8c5a251714f">Index</a> byte_offset_;</div><div class="line"><a name="l00605"></a><span class="lineno">  605</span>&#160;</div><div class="line"><a name="l00606"></a><span class="lineno">  606</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00607"></a><span class="lineno">  607</span>&#160;</div><div class="line"><a name="l00609"></a><span class="lineno">  609</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00610"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#aa72dc3870a62c972b4abdb085724d6a0">  610</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#aa72dc3870a62c972b4abdb085724d6a0">RegularTileIterator</a>(</div><div class="line"><a name="l00611"></a><span class="lineno">  611</span>&#160; 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   <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00618"></a><span class="lineno">  618</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; Detail::kPointerCount; ++i) {</div><div class="line"><a name="l00619"></a><span class="lineno">  619</span>&#160;</div><div class="line"><a name="l00620"></a><span class="lineno">  620</span>&#160;      <span class="comment">// This is the offset of a thread within a threadblock tile for a specific pointer</span></div><div class="line"><a name="l00621"></a><span class="lineno">  621</span>&#160;      <span class="comment">// (units of elements)</span></div><div class="line"><a name="l00622"></a><span class="lineno">  622</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">layout::PitchLinearCoord</a> thread_offset_in_threadblock_tile =</div><div class="line"><a name="l00623"></a><span class="lineno">  623</span>&#160;        thread_offset_base + <a class="code" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">layout::PitchLinearCoord</a>{0, ThreadMap::Detail::WarpThreadArrangement::kStrided * i};</div><div class="line"><a name="l00624"></a><span class="lineno">  624</span>&#160;</div><div class="line"><a name="l00625"></a><span class="lineno">  625</span>&#160;      <span class="comment">// initialize pointer</span></div><div class="line"><a name="l00626"></a><span class="lineno">  626</span>&#160;      pointer_[i] = <span class="keyword">reinterpret_cast&lt;</span>AccessType *<span class="keyword">&gt;</span>(ref.<a class="code" href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">data</a>() + ref.<a class="code" href="classcutlass_1_1TensorRef.html#a4166ac2a0754574ac21d5d57d74f34e5">offset</a>(thread_offset_in_threadblock_tile));</div><div class="line"><a name="l00627"></a><span class="lineno">  627</span>&#160;    }</div><div class="line"><a name="l00628"></a><span class="lineno">  628</span>&#160;  }</div><div class="line"><a name="l00629"></a><span class="lineno">  629</span>&#160;</div><div class="line"><a name="l00631"></a><span class="lineno">  631</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00632"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ac62024dc83499eda71c567193aebd733">  632</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ac62024dc83499eda71c567193aebd733">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a9ca411260555a8ca68c99c84926a2eb3">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l00633"></a><span class="lineno">  633</span>&#160;</div><div class="line"><a name="l00634"></a><span class="lineno">  634</span>&#160;    byte_offset_ += pointer_offset * <span class="keyword">sizeof</span>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ab587fd6ae9417ca3c2125ef6c4c675c9">Element</a>);</div><div class="line"><a name="l00635"></a><span class="lineno">  635</span>&#160;  }</div><div class="line"><a name="l00636"></a><span class="lineno">  636</span>&#160;</div><div class="line"><a name="l00638"></a><span class="lineno">  638</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00639"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ac921a2ca39e59829154ea0d99969b094">  639</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> &amp;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ac921a2ca39e59829154ea0d99969b094">operator++</a>() {</div><div class="line"><a name="l00640"></a><span class="lineno">  640</span>&#160;</div><div class="line"><a name="l00641"></a><span class="lineno">  641</span>&#160;    add_pointer_offset((kAdvanceRank ? Shape::kStrided * stride_ * Layout::kElementsPerAccess : Shape::kContiguous));</div><div class="line"><a name="l00642"></a><span class="lineno">  642</span>&#160;</div><div class="line"><a name="l00643"></a><span class="lineno">  643</span>&#160;    <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00644"></a><span class="lineno">  644</span>&#160;  }</div><div class="line"><a name="l00645"></a><span class="lineno">  645</span>&#160;</div><div class="line"><a name="l00647"></a><span class="lineno">  647</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00648"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a7badfbaa27bb5f3086cafa89d8c4a945">  648</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a7badfbaa27bb5f3086cafa89d8c4a945">operator++</a>(<span class="keywordtype">int</span>) {</div><div class="line"><a name="l00649"></a><span class="lineno">  649</span>&#160;</div><div class="line"><a name="l00650"></a><span class="lineno">  650</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> prev(*<span class="keyword">this</span>);</div><div class="line"><a name="l00651"></a><span class="lineno">  651</span>&#160;    this-&gt;<a class="code" href="namespacecutlass.html#a1c7a9e66ca7b5dc7413ea3b8f349530a">operator++</a>();</div><div class="line"><a name="l00652"></a><span class="lineno">  652</span>&#160;</div><div class="line"><a name="l00653"></a><span class="lineno">  653</span>&#160;    <span class="keywordflow">return</span> prev;</div><div class="line"><a name="l00654"></a><span class="lineno">  654</span>&#160;  }</div><div class="line"><a name="l00655"></a><span class="lineno">  655</span>&#160;</div><div class="line"><a name="l00657"></a><span class="lineno">  657</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00658"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a282abeeae1ae4da1602597da4d02b5e4">  658</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a282abeeae1ae4da1602597da4d02b5e4">add_tile_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a7e17a70bb1c1e5ed9a4c873e6d7c128e">TensorCoord</a> <span class="keyword">const</span> &amp;coord) {</div><div class="line"><a name="l00659"></a><span class="lineno">  659</span>&#160;    add_pointer_offset(</div><div class="line"><a name="l00660"></a><span class="lineno">  660</span>&#160;      coord.contiguous() * Shape::kContiguous / ThreadMap::kElementsPerAccess +</div><div class="line"><a name="l00661"></a><span class="lineno">  661</span>&#160;      coord.strided() * Shape::kStrided * stride_ * Layout::kElementsPerAccess</div><div class="line"><a name="l00662"></a><span class="lineno">  662</span>&#160;    );</div><div class="line"><a name="l00663"></a><span class="lineno">  663</span>&#160;  }</div><div class="line"><a name="l00664"></a><span class="lineno">  664</span>&#160;</div><div class="line"><a name="l00666"></a><span class="lineno">  666</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00667"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a5bf53d8efe7308dd31e6b1e5b62472aa">  667</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a5bf53d8efe7308dd31e6b1e5b62472aa">load_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a2e23610a2482c75bc33b4a13bbfaf6eb">Fragment</a> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#acf73851870e141f73aa1c8c5a251714f">Index</a> pointer_offset) {</div><div class="line"><a name="l00668"></a><span class="lineno">  668</span>&#160;</div><div class="line"><a name="l00669"></a><span class="lineno">  669</span>&#160; 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s &lt; ThreadMap::Iterations::kStrided; ++s) {</div><div class="line"><a name="l00675"></a><span class="lineno">  675</span>&#160;</div><div class="line"><a name="l00676"></a><span class="lineno">  676</span>&#160;      AccessType *access_ptr = pointer_[s &amp; 1];</div><div class="line"><a name="l00677"></a><span class="lineno">  677</span>&#160;      <span class="keywordtype">int</span> stride_idx = (s &amp; ~1);</div><div class="line"><a name="l00678"></a><span class="lineno">  678</span>&#160;</div><div class="line"><a name="l00679"></a><span class="lineno">  679</span>&#160;      <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00680"></a><span class="lineno">  680</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; ThreadMap::Iterations::kContiguous; ++c) {</div><div class="line"><a name="l00681"></a><span class="lineno">  681</span>&#160;</div><div class="line"><a name="l00682"></a><span class="lineno">  682</span>&#160; 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   load_with_pointer_offset(frag, 0);</div><div class="line"><a name="l00699"></a><span class="lineno">  699</span>&#160;  }</div><div class="line"><a name="l00700"></a><span class="lineno">  700</span>&#160;</div><div class="line"><a name="l00702"></a><span class="lineno">  702</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00703"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a4a54bb93393e60356b42f3b2bf705053">  703</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a4a54bb93393e60356b42f3b2bf705053">store_with_pointer_offset</a>(</div><div class="line"><a name="l00704"></a><span class="lineno">  704</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a2e23610a2482c75bc33b4a13bbfaf6eb">Fragment</a> <span class="keyword">const</span> &amp;frag,</div><div class="line"><a name="l00705"></a><span class="lineno">  705</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#acf73851870e141f73aa1c8c5a251714f">Index</a> pointer_offset) {</div><div class="line"><a name="l00706"></a><span class="lineno">  706</span>&#160;</div><div class="line"><a name="l00707"></a><span class="lineno">  707</span>&#160;    AccessType <span class="keyword">const</span> *frag_ptr = <span class="keyword">reinterpret_cast&lt;</span>AccessType <span class="keyword">const </span>*<span class="keyword">&gt;</span>(&amp;frag);</div><div class="line"><a name="l00708"></a><span class="lineno">  708</span>&#160;</div><div class="line"><a name="l00709"></a><span class="lineno">  709</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#acf73851870e141f73aa1c8c5a251714f">Index</a> vec_pointer_offset = pointer_offset / ThreadMap::kElementsPerAccess;</div><div class="line"><a name="l00710"></a><span class="lineno">  710</span>&#160;</div><div class="line"><a name="l00711"></a><span class="lineno">  711</span>&#160;    <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00712"></a><span class="lineno">  712</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> s = 0; s &lt; ThreadMap::Iterations::kStrided; ++s) {</div><div class="line"><a name="l00713"></a><span class="lineno">  713</span>&#160;</div><div class="line"><a name="l00714"></a><span class="lineno">  714</span>&#160;      AccessType *access_ptr = pointer_[s &amp; 1];</div><div class="line"><a name="l00715"></a><span class="lineno">  715</span>&#160;      <span class="keywordtype">int</span> stride_idx = (s &amp; ~1);</div><div class="line"><a name="l00716"></a><span class="lineno">  716</span>&#160;</div><div class="line"><a name="l00717"></a><span class="lineno">  717</span>&#160;      <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00718"></a><span class="lineno">  718</span>&#160; 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 <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a7fc94be55b8714caceff52f2d8b5ef7c">store</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a2e23610a2482c75bc33b4a13bbfaf6eb">Fragment</a> <span class="keyword">const</span> &amp;frag) {</div><div class="line"><a name="l00736"></a><span class="lineno">  736</span>&#160;    store_with_pointer_offset(frag, 0);</div><div class="line"><a name="l00737"></a><span class="lineno">  737</span>&#160;  }</div><div class="line"><a name="l00738"></a><span class="lineno">  738</span>&#160;};</div><div class="line"><a name="l00739"></a><span class="lineno">  739</span>&#160;</div><div class="line"><a name="l00741"></a><span class="lineno">  741</span>&#160;</div><div class="line"><a name="l00749"></a><span class="lineno">  749</span>&#160;<span class="keyword">template</span> &lt;</div><div class="line"><a name="l00750"></a><span class="lineno">  750</span>&#160;  <span class="keyword">typename</span> Shape_,</div><div class="line"><a name="l00751"></a><span class="lineno">  751</span>&#160;  <span class="keyword">typename</span> Element_,</div><div class="line"><a name="l00752"></a><span class="lineno">  752</span>&#160;  <span class="keywordtype">int</span> AdvanceRank,</div><div class="line"><a name="l00753"></a><span class="lineno">  753</span>&#160;  <span class="keyword">typename</span> ThreadMap_,</div><div class="line"><a name="l00754"></a><span class="lineno">  754</span>&#160;  <span class="keywordtype">int</span> Alignment</div><div class="line"><a name="l00755"></a><span class="lineno">  755</span>&#160;&gt;</div><div class="line"><a name="l00756"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html">  756</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00757"></a><span class="lineno">  757</span>&#160;  Shape_,</div><div class="line"><a name="l00758"></a><span class="lineno">  758</span>&#160;  Element_,</div><div class="line"><a name="l00759"></a><span class="lineno">  759</span>&#160;  layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt;sizeof_bits&lt;Element_&gt;::value&gt;,</div><div class="line"><a name="l00760"></a><span class="lineno">  760</span>&#160;  AdvanceRank,</div><div class="line"><a name="l00761"></a><span class="lineno">  761</span>&#160;  ThreadMap_,</div><div class="line"><a name="l00762"></a><span class="lineno">  762</span>&#160;  Alignment&gt; {</div><div class="line"><a name="l00763"></a><span class="lineno">  763</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00764"></a><span class="lineno">  764</span>&#160;</div><div class="line"><a name="l00765"></a><span class="lineno">  765</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(AdvanceRank == 0 || AdvanceRank == 1,</div><div class="line"><a name="l00766"></a><span class="lineno">  766</span>&#160;    <span class="stringliteral">&quot;Specialization for column-major iterator may along advance along the &quot;</span></div><div class="line"><a name="l00767"></a><span class="lineno">  767</span>&#160;    <span class="stringliteral">&quot;columns(rank=0) or rows(rank=1) dimension.&quot;</span>);</div><div class="line"><a name="l00768"></a><span class="lineno">  768</span>&#160;</div><div class="line"><a name="l00769"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a228831d99733ce2cad0c60901c5867e5">  769</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a228831d99733ce2cad0c60901c5867e5">Shape</a> = Shape_;</div><div class="line"><a name="l00770"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a1131e4b7109fc2a28e90ccb852e19103">  770</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a1131e4b7109fc2a28e90ccb852e19103">Element</a> = Element_;</div><div class="line"><a name="l00771"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a9cdfcfd7346aa4a1a6c9161943c98b01">  771</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandBCongruous.html">Layout</a> = <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandBCongruous.html">layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt;sizeof_bits&lt;Element_&gt;::value</a>&gt;;</div><div class="line"><a name="l00772"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a41b84283d541bef55f463856e6e52e7b">  772</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAdvanceRank = AdvanceRank;</div><div class="line"><a name="l00773"></a><span class="lineno">  773</span>&#160;</div><div class="line"><a name="l00774"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a16d6cac906acd65af0137086f8eec3d0">  774</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a16d6cac906acd65af0137086f8eec3d0">Index</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandBCongruous.html#a19cf61b364213ff4cccaa75ffbfcac52">Layout::Index</a>;</div><div class="line"><a name="l00775"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a283bb753b525a1d2040a2c1649526596">  775</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a283bb753b525a1d2040a2c1649526596">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandBCongruous.html#aece8bef8b6b52ecafccb265c439a64b0">Layout::LongIndex</a>;</div><div class="line"><a name="l00776"></a><span class="lineno">  776</span>&#160;</div><div class="line"><a name="l00777"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#adc8eaf4ceca3f52df096c2bb4e55deb2">  777</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef&lt;Element, Layout&gt;</a>;</div><div class="line"><a name="l00778"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#aee9d7b9c36438645313b3ecbc0a4250f">  778</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#aee9d7b9c36438645313b3ecbc0a4250f">TensorCoord</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1MatrixCoord.html">Layout::TensorCoord</a>;</div><div class="line"><a name="l00779"></a><span class="lineno">  779</span>&#160;</div><div class="line"><a name="l00780"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#aa25688dc514473a44efd54e13c53652a">  780</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#aa25688dc514473a44efd54e13c53652a">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l00781"></a><span class="lineno">  781</span>&#160;</div><div class="line"><a name="l00783"></a><span class="lineno">  783</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> = <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00784"></a><span class="lineno">  784</span>&#160;    <a class="code" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape&lt;Shape::kRow, Shape::kColumn&gt;</a>,</div><div class="line"><a name="l00785"></a><span class="lineno">  785</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a1131e4b7109fc2a28e90ccb852e19103">Element</a>,</div><div class="line"><a name="l00786"></a><span class="lineno">  786</span>&#160;    <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandBCongruous.html">layout::VoltaTensorOpMultiplicandBCongruous&lt;sizeof_bits&lt;Element_&gt;::value</a>&gt;,</div><div class="line"><a name="l00787"></a><span class="lineno">  787</span>&#160;    (kAdvanceRank == 0 ? 0 : 1),</div><div class="line"><a name="l00788"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a61a04ca4b5cbae72b06f907421e32f00">  788</a></span>&#160;    ThreadMap_&gt;;</div><div class="line"><a name="l00789"></a><span class="lineno">  789</span>&#160;</div><div class="line"><a name="l00790"></a><span class="lineno">  790</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00791"></a><span class="lineno">  791</span>&#160;</div><div class="line"><a name="l00793"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#acdcedb26b30985f59a77ddb49b1abe27">  793</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#acdcedb26b30985f59a77ddb49b1abe27">Fragment</a> = Array&lt;Element, UnderlyingIterator::Fragment::kElements&gt;;</div><div class="line"><a name="l00794"></a><span class="lineno">  794</span>&#160;</div><div class="line"><a name="l00795"></a><span class="lineno">  795</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00796"></a><span class="lineno">  796</span>&#160;</div><div class="line"><a name="l00798"></a><span class="lineno">  798</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> iterator_;</div><div class="line"><a name="l00799"></a><span class="lineno">  799</span>&#160;</div><div class="line"><a name="l00800"></a><span class="lineno">  800</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00801"></a><span class="lineno">  801</span>&#160;</div><div class="line"><a name="l00803"></a><span class="lineno">  803</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00804"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a25253a14817a446458b519e368d41d11">  804</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a25253a14817a446458b519e368d41d11">RegularTileIterator</a>(</div><div class="line"><a name="l00805"></a><span class="lineno">  805</span>&#160;    <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> ref,                              </div><div class="line"><a name="l00806"></a><span class="lineno">  806</span>&#160;    <span class="keywordtype">int</span> thread_id                               </div><div class="line"><a name="l00807"></a><span class="lineno">  807</span>&#160;  ): iterator_({ref.<a class="code" href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">data</a>(), ref.<a class="code" href="classcutlass_1_1TensorRef.html#a191e88bc0fb310be655d700e937ab97c">stride</a>()}, thread_id) {</div><div class="line"><a name="l00808"></a><span class="lineno">  808</span>&#160;</div><div class="line"><a name="l00809"></a><span class="lineno">  809</span>&#160;  }</div><div class="line"><a name="l00810"></a><span class="lineno">  810</span>&#160;</div><div class="line"><a name="l00812"></a><span class="lineno">  812</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00813"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#abc58a4088cce507092299d678a2995fc">  813</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#abc58a4088cce507092299d678a2995fc">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a283bb753b525a1d2040a2c1649526596">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l00814"></a><span class="lineno">  814</span>&#160;    iterator_.add_pointer_offset(pointer_offset);</div><div class="line"><a name="l00815"></a><span class="lineno">  815</span>&#160;  }</div><div class="line"><a name="l00816"></a><span class="lineno">  816</span>&#160;</div><div class="line"><a name="l00818"></a><span class="lineno">  818</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00819"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a675319e010669e8e92797d291e1dedcf">  819</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a675319e010669e8e92797d291e1dedcf">add_tile_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#aee9d7b9c36438645313b3ecbc0a4250f">TensorCoord</a> <span class="keyword">const</span> &amp;coord) {</div><div class="line"><a name="l00820"></a><span class="lineno">  820</span>&#160;    iterator_.add_tile_offset({coord.row(), coord.column()});</div><div class="line"><a name="l00821"></a><span class="lineno">  821</span>&#160;  }</div><div class="line"><a name="l00822"></a><span class="lineno">  822</span>&#160;</div><div class="line"><a name="l00824"></a><span class="lineno">  824</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00825"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a9147d2161f9fb8a5676495369e303c7a">  825</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> &amp;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a9147d2161f9fb8a5676495369e303c7a">operator++</a>() {</div><div class="line"><a name="l00826"></a><span class="lineno">  826</span>&#160;</div><div class="line"><a name="l00827"></a><span class="lineno">  827</span>&#160;    ++iterator_;</div><div class="line"><a name="l00828"></a><span class="lineno">  828</span>&#160;    <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00829"></a><span class="lineno">  829</span>&#160;  }</div><div class="line"><a name="l00830"></a><span class="lineno">  830</span>&#160;</div><div class="line"><a name="l00832"></a><span class="lineno">  832</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00833"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a6746d191e67af7306beb0b193f634c5d">  833</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a6746d191e67af7306beb0b193f634c5d">operator++</a>(<span class="keywordtype">int</span>) {</div><div class="line"><a name="l00834"></a><span class="lineno">  834</span>&#160;</div><div class="line"><a name="l00835"></a><span class="lineno">  835</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> prev(*<span class="keyword">this</span>);</div><div class="line"><a name="l00836"></a><span class="lineno">  836</span>&#160;    ++iterator_;</div><div class="line"><a name="l00837"></a><span class="lineno">  837</span>&#160;</div><div class="line"><a name="l00838"></a><span class="lineno">  838</span>&#160;    <span class="keywordflow">return</span> prev;</div><div class="line"><a name="l00839"></a><span class="lineno">  839</span>&#160;  }</div><div class="line"><a name="l00840"></a><span class="lineno">  840</span>&#160;</div><div class="line"><a name="l00842"></a><span class="lineno">  842</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00843"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#aa63f6bca8828aceaa50026251b256017">  843</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#aa63f6bca8828aceaa50026251b256017">load_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#acdcedb26b30985f59a77ddb49b1abe27">Fragment</a> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a16d6cac906acd65af0137086f8eec3d0">Index</a> pointer_offset) {</div><div class="line"><a name="l00844"></a><span class="lineno">  844</span>&#160;    iterator_.load_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l00845"></a><span class="lineno">  845</span>&#160;  }</div><div class="line"><a name="l00846"></a><span class="lineno">  846</span>&#160;</div><div class="line"><a name="l00848"></a><span class="lineno">  848</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00849"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#ade707a7b9bf2408919c6b00c1325e05c">  849</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#ade707a7b9bf2408919c6b00c1325e05c">load</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#acdcedb26b30985f59a77ddb49b1abe27">Fragment</a> &amp;frag) {</div><div class="line"><a name="l00850"></a><span class="lineno">  850</span>&#160;    load_with_pointer_offset(frag, 0);</div><div class="line"><a name="l00851"></a><span class="lineno">  851</span>&#160;  }</div><div class="line"><a name="l00852"></a><span class="lineno">  852</span>&#160;</div><div class="line"><a name="l00854"></a><span class="lineno">  854</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00855"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a0f2241f86eee4ccfaaa497b3a22bc9fb">  855</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a0f2241f86eee4ccfaaa497b3a22bc9fb">store_with_pointer_offset</a>(</div><div class="line"><a name="l00856"></a><span class="lineno">  856</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#acdcedb26b30985f59a77ddb49b1abe27">Fragment</a> <span class="keyword">const</span> &amp;frag,</div><div class="line"><a name="l00857"></a><span class="lineno">  857</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a16d6cac906acd65af0137086f8eec3d0">Index</a> pointer_offset) {</div><div class="line"><a name="l00858"></a><span class="lineno">  858</span>&#160;</div><div class="line"><a name="l00859"></a><span class="lineno">  859</span>&#160;    iterator_.store_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l00860"></a><span class="lineno">  860</span>&#160;  }</div><div class="line"><a name="l00861"></a><span class="lineno">  861</span>&#160;</div><div class="line"><a name="l00863"></a><span class="lineno">  863</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00864"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a7f20199f3f3d48118a35f8d6b43ba0c7">  864</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a7f20199f3f3d48118a35f8d6b43ba0c7">store</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#acdcedb26b30985f59a77ddb49b1abe27">Fragment</a> <span class="keyword">const</span> &amp;frag) {</div><div class="line"><a name="l00865"></a><span class="lineno">  865</span>&#160;    store_with_pointer_offset(frag, 0);</div><div class="line"><a name="l00866"></a><span class="lineno">  866</span>&#160;  }</div><div class="line"><a name="l00867"></a><span class="lineno">  867</span>&#160;};</div><div class="line"><a name="l00868"></a><span class="lineno">  868</span>&#160;</div><div class="line"><a name="l00869"></a><span class="lineno">  869</span>&#160;</div><div class="line"><a name="l00871"></a><span class="lineno">  871</span>&#160;</div><div class="line"><a name="l00879"></a><span class="lineno">  879</span>&#160;<span class="keyword">template</span> &lt;</div><div class="line"><a name="l00880"></a><span class="lineno">  880</span>&#160;  <span class="keyword">typename</span> Shape_,</div><div class="line"><a name="l00881"></a><span class="lineno">  881</span>&#160;  <span class="keyword">typename</span> Element_,</div><div class="line"><a name="l00882"></a><span class="lineno">  882</span>&#160;  <span class="keywordtype">int</span> AdvanceRank,</div><div class="line"><a name="l00883"></a><span class="lineno">  883</span>&#160;  <span class="keyword">typename</span> ThreadMap_,</div><div class="line"><a name="l00884"></a><span class="lineno">  884</span>&#160;  <span class="keywordtype">int</span> Alignment</div><div class="line"><a name="l00885"></a><span class="lineno">  885</span>&#160;&gt;</div><div class="line"><a name="l00886"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html">  886</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00887"></a><span class="lineno">  887</span>&#160;  Shape_,</div><div class="line"><a name="l00888"></a><span class="lineno">  888</span>&#160;  Element_,</div><div class="line"><a name="l00889"></a><span class="lineno">  889</span>&#160;  layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt;sizeof_bits&lt;Element_&gt;::value&gt;,</div><div class="line"><a name="l00890"></a><span class="lineno">  890</span>&#160;  AdvanceRank,</div><div class="line"><a name="l00891"></a><span class="lineno">  891</span>&#160;  ThreadMap_,</div><div class="line"><a name="l00892"></a><span class="lineno">  892</span>&#160;  Alignment&gt; {</div><div class="line"><a name="l00893"></a><span class="lineno">  893</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00894"></a><span class="lineno">  894</span>&#160;</div><div class="line"><a name="l00895"></a><span class="lineno">  895</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(AdvanceRank == 0 || AdvanceRank == 1,</div><div class="line"><a name="l00896"></a><span class="lineno">  896</span>&#160;    <span class="stringliteral">&quot;Specialization for row-major iterator may along advance along the &quot;</span></div><div class="line"><a name="l00897"></a><span class="lineno">  897</span>&#160;    <span class="stringliteral">&quot;columns(rank=0) or rows(rank=1) dimension.&quot;</span>);</div><div class="line"><a name="l00898"></a><span class="lineno">  898</span>&#160;</div><div class="line"><a name="l00899"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#ad03960f9dd870a67fd2bf332bd4861b1">  899</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#ad03960f9dd870a67fd2bf332bd4861b1">Shape</a> = Shape_;</div><div class="line"><a name="l00900"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a20da739cf9f21a7e8768755003f8e965">  900</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a20da739cf9f21a7e8768755003f8e965">Element</a> = Element_;</div><div class="line"><a name="l00901"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#acd1c21d7b8ccb22547cace4950a0bbfd">  901</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandBCongruous.html">Layout</a> = <a class="code" href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandBCongruous.html">layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt;sizeof_bits&lt;Element_&gt;::value</a>&gt;;</div><div class="line"><a name="l00902"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a7ccd102ac41d37c510a7818b3bbc5a40">  902</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAdvanceRank = AdvanceRank;</div><div class="line"><a name="l00903"></a><span class="lineno">  903</span>&#160;</div><div class="line"><a name="l00904"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a94e8cc78e38dca1afa16ee123e8c7033">  904</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a94e8cc78e38dca1afa16ee123e8c7033">Index</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandBCongruous.html#a80908838bd1135f03e37d342a140bc34">Layout::Index</a>;</div><div class="line"><a name="l00905"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a13a59579b70d828e9f0e8335a0ca7a77">  905</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a13a59579b70d828e9f0e8335a0ca7a77">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandBCongruous.html#a25800f82b5edd600b45db3ce69b51ddb">Layout::LongIndex</a>;</div><div class="line"><a name="l00906"></a><span class="lineno">  906</span>&#160;</div><div class="line"><a name="l00907"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#af270684b90958b4ab7e7d83636b6a12a">  907</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef&lt;Element, Layout&gt;</a>;</div><div class="line"><a name="l00908"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a52a5d3c344e34799cc5a837851101901">  908</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a52a5d3c344e34799cc5a837851101901">TensorCoord</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1MatrixCoord.html">Layout::TensorCoord</a>;</div><div class="line"><a name="l00909"></a><span class="lineno">  909</span>&#160;</div><div class="line"><a name="l00910"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a80e81680397d7ba1d090c6b2ec2e8e1a">  910</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a80e81680397d7ba1d090c6b2ec2e8e1a">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l00911"></a><span class="lineno">  911</span>&#160;</div><div class="line"><a name="l00913"></a><span class="lineno">  913</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> = <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l00914"></a><span class="lineno">  914</span>&#160;    <a class="code" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape&lt;Shape::kColumn, Shape::kRow&gt;</a>,</div><div class="line"><a name="l00915"></a><span class="lineno">  915</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a20da739cf9f21a7e8768755003f8e965">Element</a>,</div><div class="line"><a name="l00916"></a><span class="lineno">  916</span>&#160;    <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandBCongruous.html">layout::VoltaTensorOpMultiplicandBCongruous&lt;sizeof_bits&lt;Element_&gt;::value</a>&gt;,</div><div class="line"><a name="l00917"></a><span class="lineno">  917</span>&#160;    (kAdvanceRank == 0 ? 1 : 0),</div><div class="line"><a name="l00918"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a4f764e081db5ddd8756d23d19ad2c09c">  918</a></span>&#160;    ThreadMap_&gt;;</div><div class="line"><a name="l00919"></a><span class="lineno">  919</span>&#160;</div><div class="line"><a name="l00920"></a><span class="lineno">  920</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00921"></a><span class="lineno">  921</span>&#160;</div><div class="line"><a name="l00923"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#aae78eda22cfd92be06f8397e72abfaf4">  923</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#aae78eda22cfd92be06f8397e72abfaf4">Fragment</a> = Array&lt;Element, UnderlyingIterator::Fragment::kElements&gt;;</div><div class="line"><a name="l00924"></a><span class="lineno">  924</span>&#160;</div><div class="line"><a name="l00925"></a><span class="lineno">  925</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00926"></a><span class="lineno">  926</span>&#160;</div><div class="line"><a name="l00928"></a><span class="lineno">  928</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> iterator_;</div><div class="line"><a name="l00929"></a><span class="lineno">  929</span>&#160;</div><div class="line"><a name="l00930"></a><span class="lineno">  930</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00931"></a><span class="lineno">  931</span>&#160;</div><div class="line"><a name="l00933"></a><span class="lineno">  933</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00934"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a0d0e54f204b90ddf9af598655441864b">  934</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a0d0e54f204b90ddf9af598655441864b">RegularTileIterator</a>(</div><div class="line"><a name="l00935"></a><span class="lineno">  935</span>&#160;    <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> ref,                              </div><div class="line"><a name="l00936"></a><span class="lineno">  936</span>&#160;    <span class="keywordtype">int</span> thread_id                               </div><div class="line"><a name="l00937"></a><span class="lineno">  937</span>&#160;  ): iterator_({ref.<a class="code" href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">data</a>(), ref.<a class="code" href="classcutlass_1_1TensorRef.html#a191e88bc0fb310be655d700e937ab97c">stride</a>()}, thread_id) {</div><div class="line"><a name="l00938"></a><span class="lineno">  938</span>&#160;</div><div class="line"><a name="l00939"></a><span class="lineno">  939</span>&#160;  }</div><div class="line"><a name="l00940"></a><span class="lineno">  940</span>&#160;</div><div class="line"><a name="l00942"></a><span class="lineno">  942</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00943"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#aeb46bd11e841065d1aa38936023d93c4">  943</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#aeb46bd11e841065d1aa38936023d93c4">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a13a59579b70d828e9f0e8335a0ca7a77">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l00944"></a><span class="lineno">  944</span>&#160;    iterator_.add_pointer_offset(pointer_offset);</div><div class="line"><a name="l00945"></a><span class="lineno">  945</span>&#160;  }</div><div class="line"><a name="l00946"></a><span class="lineno">  946</span>&#160;</div><div class="line"><a name="l00948"></a><span class="lineno">  948</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00949"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#ab9775aac1bf8f19558e0ac69d5224155">  949</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#ab9775aac1bf8f19558e0ac69d5224155">add_tile_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a52a5d3c344e34799cc5a837851101901">TensorCoord</a> <span class="keyword">const</span> &amp;coord) {</div><div class="line"><a name="l00950"></a><span class="lineno">  950</span>&#160;    iterator_.add_tile_offset({coord.column(), coord.row()});</div><div class="line"><a name="l00951"></a><span class="lineno">  951</span>&#160;  }</div><div class="line"><a name="l00952"></a><span class="lineno">  952</span>&#160;</div><div class="line"><a name="l00954"></a><span class="lineno">  954</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00955"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#aebe02d3f35ac5a71cb9addfcfe4e75d3">  955</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> &amp;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#aebe02d3f35ac5a71cb9addfcfe4e75d3">operator++</a>() {</div><div class="line"><a name="l00956"></a><span class="lineno">  956</span>&#160;</div><div class="line"><a name="l00957"></a><span class="lineno">  957</span>&#160;    ++iterator_;</div><div class="line"><a name="l00958"></a><span class="lineno">  958</span>&#160;    <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00959"></a><span class="lineno">  959</span>&#160;  }</div><div class="line"><a name="l00960"></a><span class="lineno">  960</span>&#160;</div><div class="line"><a name="l00962"></a><span class="lineno">  962</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00963"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a1b07f5faace323f365200325d4527173">  963</a></span>&#160; 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   <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a94e8cc78e38dca1afa16ee123e8c7033">Index</a> pointer_offset) {</div><div class="line"><a name="l00988"></a><span class="lineno">  988</span>&#160;</div><div class="line"><a name="l00989"></a><span class="lineno">  989</span>&#160;    iterator_.store_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l00990"></a><span class="lineno">  990</span>&#160;  }</div><div class="line"><a name="l00991"></a><span class="lineno">  991</span>&#160;</div><div class="line"><a name="l00993"></a><span class="lineno">  993</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l00994"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a7d4a8912eb0628cbf528120010829bd1">  994</a></span>&#160; 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 <span class="keyword">typename</span> Shape_,</div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>&#160;  <span class="keyword">typename</span> Element_,</div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>&#160;  <span class="keywordtype">int</span> AdvanceRank,</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>&#160;  <span class="keyword">typename</span> ThreadMap_,</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>&#160;  <span class="keywordtype">int</span> Alignment</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>&#160;&gt;</div><div class="line"><a name="l01018"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html"> 1018</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>&#160;    Shape_, Element_,</div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>&#160;    layout::VoltaTensorOpMultiplicandCrosswise&lt;sizeof_bits&lt;Element_&gt;::value,</div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>&#160;                                               Shape_::kContiguous&gt;,</div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>&#160;    AdvanceRank, ThreadMap_, Alignment&gt; {</div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>&#160;</div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>&#160;      AdvanceRank == 0 || AdvanceRank == 1,</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>&#160;      <span class="stringliteral">&quot;Specialization for pitch-linear iterator may along advance along the &quot;</span></div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>&#160;      <span class="stringliteral">&quot;contiguous(rank=0) or strided(rank=1) dimension.&quot;</span>);</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>&#160;</div><div class="line"><a name="l01030"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a44ceeee968a7737d70065e0060652a8a"> 1030</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a44ceeee968a7737d70065e0060652a8a">Shape</a> = Shape_;</div><div class="line"><a name="l01031"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a7836aee3685b7768c3e41460d2655893"> 1031</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a7836aee3685b7768c3e41460d2655893">Element</a> = Element_;</div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCrosswise.html">Layout</a> =</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCrosswise.html">layout::VoltaTensorOpMultiplicandCrosswise&lt;sizeof_bits&lt;Element_&gt;::value</a>,</div><div class="line"><a name="l01034"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#acdf54b7d86527c290d5461428f84a4a0"> 1034</a></span>&#160;                                                 Shape::kContiguous&gt;;</div><div class="line"><a name="l01035"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a963a0e4c7935555b8016754c43c63591"> 1035</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAdvanceRank = AdvanceRank;</div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160;</div><div class="line"><a name="l01037"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#aed83968f30e942628bbe59a36daaa57e"> 1037</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#aed83968f30e942628bbe59a36daaa57e">Index</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCrosswise.html#a064fd090cbaa1e359bc44e6edcbf7cde">Layout::Index</a>;</div><div class="line"><a name="l01038"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a78fb04addeb4a04ac8446c52c3c62b59"> 1038</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a78fb04addeb4a04ac8446c52c3c62b59">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCrosswise.html#a61455b7fac8d838b05b8d0c3cf6b5b12">Layout::LongIndex</a>;</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>&#160;</div><div class="line"><a name="l01040"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#abd0e3e595ff399b12004dc308f7aad0a"> 1040</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef&lt;Element, Layout&gt;</a>;</div><div class="line"><a name="l01041"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#afbba14a30175a61245f2604c85b5f470"> 1041</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#afbba14a30175a61245f2604c85b5f470">TensorCoord</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">Layout::TensorCoord</a>;</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160;</div><div class="line"><a name="l01043"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a4a0a3c232c8eb6e6bf1fb4be14ff46c2"> 1043</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a4a0a3c232c8eb6e6bf1fb4be14ff46c2">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160;</div><div class="line"><a name="l01046"></a><span class="lineno"><a class="line" href="structcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0390833403016f5d817416e20828845df.html"> 1046</a></span>&#160;  <span class="keyword">struct </span>Detail {</div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>&#160;</div><div class="line"><a name="l01049"></a><span class="lineno"><a class="line" href="structcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0390833403016f5d817416e20828845df.html#a9626831f7a71e2e3e859611fce83c9ab"> 1049</a></span>&#160;    <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kPointerCount = (ThreadMap::Iterations::kStrided &gt; 1 ? 2 : 1);</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160;</div><div class="line"><a name="l01052"></a><span class="lineno"><a class="line" href="structcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0390833403016f5d817416e20828845df.html#a39d8f3a62387cdc01df2a1fdd899fa51"> 1052</a></span>&#160;    <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kIterarionsPerAccess =</div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>&#160;        ThreadMap::kElementsPerAccess / Layout::kElementsPerAccess;</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>&#160;</div><div class="line"><a name="l01056"></a><span class="lineno"><a class="line" href="structcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0390833403016f5d817416e20828845df.html#a72e2ec7effe4120a9faf2a19e2be8891"> 1056</a></span>&#160;    <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kContiguousElementsPerLine = 4;</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>&#160;  };</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>&#160;</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>&#160;  <span class="keyword">using</span> AccessType = Array&lt;Element, Layout::kElementsPerAccess&gt;;</div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>&#160;</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a6bb1b49203f861013b8719866d4eefdb">Fragment</a> =</div><div class="line"><a name="l01066"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a6bb1b49203f861013b8719866d4eefdb"> 1066</a></span>&#160;      Array&lt;Element, ThreadMap::Iterations::kCount * ThreadMap::kElementsPerAccess&gt;;</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>&#160;</div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>&#160;  <span class="comment">// Data members</span></div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>&#160;  <span class="comment">//</span></div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>&#160;</div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#aed83968f30e942628bbe59a36daaa57e">Index</a> line_size;</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>&#160;</div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>&#160;  AccessType *pointer_[Detail::kPointerCount];</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>&#160;</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#aed83968f30e942628bbe59a36daaa57e">Index</a> byte_offset_;</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>&#160;</div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>&#160;</div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01088"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#abc4b12b3974ae4de423d20ef902e3bf3"> 1088</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#abc4b12b3974ae4de423d20ef902e3bf3">RegularTileIterator</a>(<a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> ref,  </div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>&#160;                      <span class="keywordtype">int</span> thread_id   </div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>&#160;                      )</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>&#160;      : line_size(ref.stride(0) * Detail::kContiguousElementsPerLine / <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCrosswise.html">Layout</a>::kElementsPerAccess),</div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>&#160;        byte_offset_(0) {</div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>&#160;</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>&#160;    <a class="code" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">layout::PitchLinearCoord</a> thread_offset_base =</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>&#160;        ThreadMap::initial_offset(thread_id);</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>&#160;</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>&#160;    <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; Detail::kPointerCount; ++i) {</div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>&#160;      <span class="comment">// This is the offset of a thread within a threadblock tile for a specific</span></div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span>&#160;      <span class="comment">// pointer (units of elements)</span></div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1PitchLinearCoord.html">layout::PitchLinearCoord</a> thread_offset_in_threadblock_tile =</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>&#160;          thread_offset_base +</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>&#160; 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   }</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>&#160;  }</div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>&#160;</div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01114"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a18d640234ab415c5ee35be033fba2626"> 1114</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a18d640234ab415c5ee35be033fba2626">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a78fb04addeb4a04ac8446c52c3c62b59">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span>&#160;    byte_offset_ += pointer_offset * <span class="keyword">sizeof</span>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a7836aee3685b7768c3e41460d2655893">Element</a>);</div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>&#160;  }</div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>&#160;</div><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01120"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a43f7bbb7a5ee381a159015d789bb1d4a"> 1120</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> &amp;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a43f7bbb7a5ee381a159015d789bb1d4a">operator++</a>() {</div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span>&#160;    <span class="comment">// (Shape::kContiguous/Layout::kElementsPerAccess)*</span></div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span>&#160;    <span class="comment">//   line_size * Layout::kElementsPerAccess</span></div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>&#160;    add_pointer_offset(Shape::kContiguous * line_size);</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>&#160;    <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>&#160;  }</div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>&#160;</div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01129"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a12a91fa23318456dd5efe4673d615d9d"> 1129</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a12a91fa23318456dd5efe4673d615d9d">operator++</a>(<span class="keywordtype">int</span>) {</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> prev(*<span class="keyword">this</span>);</div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>&#160;    this-&gt;<a class="code" href="namespacecutlass.html#a1c7a9e66ca7b5dc7413ea3b8f349530a">operator++</a>();</div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>&#160;</div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>&#160;    <span class="keywordflow">return</span> prev;</div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span>&#160;  }</div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span>&#160;</div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l01138"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#af6d2419d25603c23132d47972ad7a966"> 1138</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#af6d2419d25603c23132d47972ad7a966">add_tile_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#afbba14a30175a61245f2604c85b5f470">TensorCoord</a> <span class="keyword">const</span> &amp;coord) {</div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>&#160;    add_pointer_offset((coord.contiguous() * (Shape::kContiguous / Layout::kElementsPerAccess) *</div><div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>&#160;                       line_size + coord.strided() * Shape::kStrided) *</div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span>&#160;                       Layout::kElementsPerAccess);</div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span>&#160;  }</div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span>&#160;</div><div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l01146"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a029bc599107d26ff84ede31a11c7cf7b"> 1146</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a029bc599107d26ff84ede31a11c7cf7b">load_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a6bb1b49203f861013b8719866d4eefdb">Fragment</a> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#aed83968f30e942628bbe59a36daaa57e">Index</a> pointer_offset) {</div><div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>&#160;    AccessType *frag_ptr = <span class="keyword">reinterpret_cast&lt;</span>AccessType *<span class="keyword">&gt;</span>(&amp;frag);</div><div class="line"><a name="l01148"></a><span class="lineno"> 1148</span>&#160;</div><div class="line"><a name="l01149"></a><span class="lineno"> 1149</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#aed83968f30e942628bbe59a36daaa57e">Index</a> vec_pointer_offset = pointer_offset / ThreadMap::kElementsPerAccess;</div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span>&#160;</div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>&#160;    <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> s = 0; s &lt; ThreadMap::Iterations::kStrided; ++s) {</div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>&#160;      AccessType *access_ptr = pointer_[(s &amp; 1) ^ (s / 2)];</div><div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>&#160;</div><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span>&#160;      access_ptr += 16 * (s / 2);</div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span>&#160;</div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span>&#160;      <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; ThreadMap::Iterations::kContiguous; ++c) {</div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>&#160;</div><div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>&#160;        <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i &lt; Detail::kIterarionsPerAccess; ++i) {</div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>&#160;</div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>&#160;          <span class="keywordtype">int</span> access_offset = </div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>&#160;            c * ThreadMap::Delta::kContiguous / Detail::kContiguousElementsPerLine * line_size +</div><div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>&#160;            vec_pointer_offset + i * line_size;</div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span>&#160;</div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span>&#160;          <span class="keywordtype">int</span> access_idx = (c + s * ThreadMap::Iterations::kContiguous) *</div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span>&#160;            Detail::kIterarionsPerAccess + i;</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>&#160;</div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>&#160;          <span class="keywordtype">char</span> <span class="keyword">const</span> *access_byte_ptr = <span class="keyword">reinterpret_cast&lt;</span><span class="keywordtype">char</span> const*<span class="keyword">&gt;</span>(access_ptr + access_offset);</div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>&#160;</div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>&#160;          frag_ptr[access_idx] = *<span class="keyword">reinterpret_cast&lt;</span>AccessType <span class="keyword">const </span>*<span class="keyword">&gt;</span>(</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span>&#160;              access_byte_ptr + byte_offset_);</div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span>&#160;        }</div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span>&#160;      }</div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>&#160;    }</div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>&#160;  }</div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>&#160;</div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l01181"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a4980f583fe480dcec46ace1c91049c8a"> 1181</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a4980f583fe480dcec46ace1c91049c8a">load</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a6bb1b49203f861013b8719866d4eefdb">Fragment</a> &amp;frag) { load_with_pointer_offset(frag, 0); }</div><div class="line"><a name="l01182"></a><span class="lineno"> 1182</span>&#160;</div><div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l01185"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#af1d98b5df55c8cb8dcf9d832f0efc2b5"> 1185</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#af1d98b5df55c8cb8dcf9d832f0efc2b5">store_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a6bb1b49203f861013b8719866d4eefdb">Fragment</a> <span class="keyword">const</span> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#aed83968f30e942628bbe59a36daaa57e">Index</a> pointer_offset) {</div><div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>&#160;    AccessType <span class="keyword">const</span> *frag_ptr = <span class="keyword">reinterpret_cast&lt;</span>AccessType <span class="keyword">const </span>*<span class="keyword">&gt;</span>(&amp;frag);</div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span>&#160;</div><div class="line"><a name="l01188"></a><span class="lineno"> 1188</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#aed83968f30e942628bbe59a36daaa57e">Index</a> vec_pointer_offset = pointer_offset / ThreadMap::kElementsPerAccess;</div><div class="line"><a name="l01189"></a><span class="lineno"> 1189</span>&#160;</div><div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>&#160;    <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> s = 0; s &lt; ThreadMap::Iterations::kStrided; ++s) {</div><div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>&#160;      AccessType *access_ptr = pointer_[(s &amp; 1) ^ ((s &gt;&gt; 1) &amp; 1)];</div><div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>&#160;</div><div class="line"><a name="l01194"></a><span class="lineno"> 1194</span>&#160;      access_ptr += 16 * (s / 2);</div><div class="line"><a name="l01195"></a><span class="lineno"> 1195</span>&#160;</div><div class="line"><a name="l01196"></a><span class="lineno"> 1196</span>&#160;      <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01197"></a><span class="lineno"> 1197</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> c = 0; c &lt; ThreadMap::Iterations::kContiguous; ++c) {</div><div class="line"><a name="l01198"></a><span class="lineno"> 1198</span>&#160;        <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l01199"></a><span class="lineno"> 1199</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> i = 0; i &lt; Detail::kIterarionsPerAccess; ++i) {</div><div class="line"><a name="l01200"></a><span class="lineno"> 1200</span>&#160;</div><div class="line"><a name="l01201"></a><span class="lineno"> 1201</span>&#160;          <span class="keywordtype">int</span> access_offset = </div><div class="line"><a name="l01202"></a><span class="lineno"> 1202</span>&#160;            c * ThreadMap::Delta::kContiguous / Detail::kContiguousElementsPerLine * line_size +</div><div class="line"><a name="l01203"></a><span class="lineno"> 1203</span>&#160;            vec_pointer_offset + i * line_size;</div><div class="line"><a name="l01204"></a><span class="lineno"> 1204</span>&#160;</div><div class="line"><a name="l01205"></a><span class="lineno"> 1205</span>&#160;          <span class="keywordtype">int</span> access_idx = (c + s * ThreadMap::Iterations::kContiguous) *</div><div class="line"><a name="l01206"></a><span class="lineno"> 1206</span>&#160;            Detail::kIterarionsPerAccess + i;</div><div class="line"><a name="l01207"></a><span class="lineno"> 1207</span>&#160;</div><div class="line"><a name="l01208"></a><span class="lineno"> 1208</span>&#160;          <span class="keywordtype">char</span> *access_byte_ptr = <span class="keyword">reinterpret_cast&lt;</span><span class="keywordtype">char</span> *<span class="keyword">&gt;</span>(access_ptr + access_offset);</div><div class="line"><a name="l01209"></a><span class="lineno"> 1209</span>&#160;</div><div class="line"><a name="l01210"></a><span class="lineno"> 1210</span>&#160;          *<span class="keyword">reinterpret_cast&lt;</span>AccessType *<span class="keyword">&gt;</span>(access_byte_ptr + byte_offset_) =</div><div class="line"><a name="l01211"></a><span class="lineno"> 1211</span>&#160;              frag_ptr[access_idx];</div><div class="line"><a name="l01212"></a><span class="lineno"> 1212</span>&#160;        }</div><div class="line"><a name="l01213"></a><span class="lineno"> 1213</span>&#160;      }</div><div class="line"><a name="l01214"></a><span class="lineno"> 1214</span>&#160;    }</div><div class="line"><a name="l01215"></a><span class="lineno"> 1215</span>&#160;  }</div><div class="line"><a name="l01216"></a><span class="lineno"> 1216</span>&#160;</div><div class="line"><a name="l01218"></a><span class="lineno"> 1218</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l01219"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a23a16b7dc67ef7523540bb49a4145834"> 1219</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a23a16b7dc67ef7523540bb49a4145834">store</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a6bb1b49203f861013b8719866d4eefdb">Fragment</a> <span class="keyword">const</span> &amp;frag) { store_with_pointer_offset(frag, 0); }</div><div class="line"><a name="l01220"></a><span class="lineno"> 1220</span>&#160;};</div><div class="line"><a name="l01221"></a><span class="lineno"> 1221</span>&#160;</div><div class="line"><a name="l01223"></a><span class="lineno"> 1223</span>&#160;</div><div class="line"><a name="l01231"></a><span class="lineno"> 1231</span>&#160;<span class="keyword">template</span> &lt;</div><div class="line"><a name="l01232"></a><span class="lineno"> 1232</span>&#160;  <span class="keyword">typename</span> Shape_,</div><div class="line"><a name="l01233"></a><span class="lineno"> 1233</span>&#160;  <span class="keyword">typename</span> Element_,</div><div class="line"><a name="l01234"></a><span class="lineno"> 1234</span>&#160;  <span class="keywordtype">int</span> AdvanceRank,</div><div class="line"><a name="l01235"></a><span class="lineno"> 1235</span>&#160;  <span class="keyword">typename</span> ThreadMap_,</div><div class="line"><a name="l01236"></a><span class="lineno"> 1236</span>&#160;  <span class="keywordtype">int</span> Alignment</div><div class="line"><a name="l01237"></a><span class="lineno"> 1237</span>&#160;&gt;</div><div class="line"><a name="l01238"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html"> 1238</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;Shape_, Element_,</div><div class="line"><a name="l01239"></a><span class="lineno"> 1239</span>&#160;                          layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt;</div><div class="line"><a name="l01240"></a><span class="lineno"> 1240</span>&#160;                              sizeof_bits&lt;Element_&gt;::value, Shape_::kRow&gt;,</div><div class="line"><a name="l01241"></a><span class="lineno"> 1241</span>&#160;                          AdvanceRank, ThreadMap_, Alignment&gt; {</div><div class="line"><a name="l01242"></a><span class="lineno"> 1242</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l01243"></a><span class="lineno"> 1243</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l01244"></a><span class="lineno"> 1244</span>&#160;      AdvanceRank == 0 || AdvanceRank == 1,</div><div class="line"><a name="l01245"></a><span class="lineno"> 1245</span>&#160;      <span class="stringliteral">&quot;Specialization for column-major iterator may along advance along the &quot;</span></div><div class="line"><a name="l01246"></a><span class="lineno"> 1246</span>&#160;      <span class="stringliteral">&quot;columns(rank=0) or rows(rank=1) dimension.&quot;</span>);</div><div class="line"><a name="l01247"></a><span class="lineno"> 1247</span>&#160;</div><div class="line"><a name="l01248"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a5e8d5d92da5ea80301da988dacdb210c"> 1248</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a5e8d5d92da5ea80301da988dacdb210c">Shape</a> = Shape_;</div><div class="line"><a name="l01249"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a19976ce704f0f613b06eaaba9c3ae96e"> 1249</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a19976ce704f0f613b06eaaba9c3ae96e">Element</a> = Element_;</div><div class="line"><a name="l01250"></a><span class="lineno"> 1250</span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCrosswise.html">Layout</a> = <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCrosswise.html">layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise</a>&lt;</div><div class="line"><a name="l01251"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a44405a9b5c408774bab7f64df5a8ec0d"> 1251</a></span>&#160;      <a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits&lt;Element_&gt;::value</a>, Shape::kRow&gt;;</div><div class="line"><a name="l01252"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a1ddb408e14b2e354d26b900472bded68"> 1252</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAdvanceRank = AdvanceRank;</div><div class="line"><a name="l01253"></a><span class="lineno"> 1253</span>&#160;</div><div class="line"><a name="l01254"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a1281f6ab20cc0d3823992b2342371d47"> 1254</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a1281f6ab20cc0d3823992b2342371d47">Index</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCrosswise.html#a7f6ef66932fda16f2784dd2a1e224ca5">Layout::Index</a>;</div><div class="line"><a name="l01255"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a4c762f53f401653ff9b7e2d2da03149a"> 1255</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a4c762f53f401653ff9b7e2d2da03149a">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCrosswise.html#ab0f9e152320c2785c856965e6e3c02fb">Layout::LongIndex</a>;</div><div class="line"><a name="l01256"></a><span class="lineno"> 1256</span>&#160;</div><div class="line"><a name="l01257"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a68aab807e1a37ef009794e027112846c"> 1257</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef&lt;Element, Layout&gt;</a>;</div><div class="line"><a name="l01258"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#abd588d3445a5082d6565e8f306bc3775"> 1258</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#abd588d3445a5082d6565e8f306bc3775">TensorCoord</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1MatrixCoord.html">Layout::TensorCoord</a>;</div><div class="line"><a name="l01259"></a><span class="lineno"> 1259</span>&#160;</div><div class="line"><a name="l01260"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a7e6c3e5c3c19dfb01477cd1786c5d690"> 1260</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a7e6c3e5c3c19dfb01477cd1786c5d690">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l01261"></a><span class="lineno"> 1261</span>&#160;</div><div class="line"><a name="l01263"></a><span class="lineno"> 1263</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> = <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l01264"></a><span class="lineno"> 1264</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape&lt;Shape::kRow, Shape::kColumn&gt;</a>, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a19976ce704f0f613b06eaaba9c3ae96e">Element</a>,</div><div class="line"><a name="l01265"></a><span class="lineno"> 1265</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCrosswise.html">layout::VoltaTensorOpMultiplicandCrosswise&lt;sizeof_bits&lt;Element_&gt;::value</a>,</div><div class="line"><a name="l01266"></a><span class="lineno"> 1266</span>&#160;                                            Shape::kRow&gt;,</div><div class="line"><a name="l01267"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#aca84a849e62d818ebe2e5ce4341e244d"> 1267</a></span>&#160;      (kAdvanceRank == 0 ? 0 : 1), ThreadMap_&gt;;</div><div class="line"><a name="l01268"></a><span class="lineno"> 1268</span>&#160;</div><div class="line"><a name="l01269"></a><span class="lineno"> 1269</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l01271"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#ac8dc6cbe7b5d728373c719d6245194c8"> 1271</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#ac8dc6cbe7b5d728373c719d6245194c8">Fragment</a> = Array&lt;Element, UnderlyingIterator::Fragment::kElements&gt;;</div><div class="line"><a name="l01272"></a><span class="lineno"> 1272</span>&#160;</div><div class="line"><a name="l01273"></a><span class="lineno"> 1273</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l01275"></a><span class="lineno"> 1275</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> iterator_;</div><div class="line"><a name="l01276"></a><span class="lineno"> 1276</span>&#160;</div><div class="line"><a name="l01277"></a><span class="lineno"> 1277</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l01279"></a><span class="lineno"> 1279</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01280"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#ac2ccb3732d24e95444a186167dfc122d"> 1280</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#ac2ccb3732d24e95444a186167dfc122d">RegularTileIterator</a>(<a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> ref,  </div><div class="line"><a name="l01281"></a><span class="lineno"> 1281</span>&#160;                      <span class="keywordtype">int</span> thread_id   </div><div class="line"><a name="l01282"></a><span class="lineno"> 1282</span>&#160;                      )</div><div class="line"><a name="l01283"></a><span class="lineno"> 1283</span>&#160;      : iterator_({ref.<a class="code" href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">data</a>(), ref.<a class="code" href="classcutlass_1_1TensorRef.html#a191e88bc0fb310be655d700e937ab97c">stride</a>()}, thread_id) {}</div><div class="line"><a name="l01284"></a><span class="lineno"> 1284</span>&#160;</div><div class="line"><a name="l01286"></a><span class="lineno"> 1286</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01287"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a330fabf75d4870a68586b3cd154eca20"> 1287</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a330fabf75d4870a68586b3cd154eca20">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a4c762f53f401653ff9b7e2d2da03149a">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l01288"></a><span class="lineno"> 1288</span>&#160;    iterator_.add_pointer_offset(pointer_offset);</div><div class="line"><a name="l01289"></a><span class="lineno"> 1289</span>&#160;  }</div><div class="line"><a name="l01290"></a><span class="lineno"> 1290</span>&#160;</div><div class="line"><a name="l01292"></a><span class="lineno"> 1292</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l01293"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a54ee29b370e601bde78f597b0ba9df81"> 1293</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a54ee29b370e601bde78f597b0ba9df81">add_tile_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#abd588d3445a5082d6565e8f306bc3775">TensorCoord</a> <span class="keyword">const</span> &amp;coord) {</div><div class="line"><a name="l01294"></a><span class="lineno"> 1294</span>&#160;    iterator_.add_tile_offset({coord.row(), coord.column()});</div><div class="line"><a name="l01295"></a><span class="lineno"> 1295</span>&#160;  }</div><div class="line"><a name="l01296"></a><span class="lineno"> 1296</span>&#160;</div><div class="line"><a name="l01298"></a><span class="lineno"> 1298</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01299"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a2f670f194227664f39fdcdac863a1a21"> 1299</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> &amp;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a2f670f194227664f39fdcdac863a1a21">operator++</a>() {</div><div class="line"><a name="l01300"></a><span class="lineno"> 1300</span>&#160;    ++iterator_;</div><div class="line"><a name="l01301"></a><span class="lineno"> 1301</span>&#160;    <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l01302"></a><span class="lineno"> 1302</span>&#160;  }</div><div class="line"><a name="l01303"></a><span class="lineno"> 1303</span>&#160;</div><div class="line"><a name="l01305"></a><span class="lineno"> 1305</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01306"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#afc880ce904dcd61c9e1d1bae56e36ed3"> 1306</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#afc880ce904dcd61c9e1d1bae56e36ed3">operator++</a>(<span class="keywordtype">int</span>) {</div><div class="line"><a name="l01307"></a><span class="lineno"> 1307</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> prev(*<span class="keyword">this</span>);</div><div class="line"><a name="l01308"></a><span class="lineno"> 1308</span>&#160;    ++iterator_;</div><div class="line"><a name="l01309"></a><span class="lineno"> 1309</span>&#160;</div><div class="line"><a name="l01310"></a><span class="lineno"> 1310</span>&#160;    <span class="keywordflow">return</span> prev;</div><div class="line"><a name="l01311"></a><span class="lineno"> 1311</span>&#160;  }</div><div class="line"><a name="l01312"></a><span class="lineno"> 1312</span>&#160;</div><div class="line"><a name="l01314"></a><span class="lineno"> 1314</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l01315"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a9d22c23f02e27d377e978a6bd55f2b6c"> 1315</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a9d22c23f02e27d377e978a6bd55f2b6c">load_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#ac8dc6cbe7b5d728373c719d6245194c8">Fragment</a> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a1281f6ab20cc0d3823992b2342371d47">Index</a> pointer_offset) {</div><div class="line"><a name="l01316"></a><span class="lineno"> 1316</span>&#160;    iterator_.load_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l01317"></a><span class="lineno"> 1317</span>&#160;  }</div><div class="line"><a name="l01318"></a><span class="lineno"> 1318</span>&#160;</div><div class="line"><a name="l01320"></a><span class="lineno"> 1320</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l01321"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#ab436d46f4dc62169f7be2201ba62d3e1"> 1321</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#ab436d46f4dc62169f7be2201ba62d3e1">load</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#ac8dc6cbe7b5d728373c719d6245194c8">Fragment</a> &amp;frag) { load_with_pointer_offset(frag, 0); }</div><div class="line"><a name="l01322"></a><span class="lineno"> 1322</span>&#160;</div><div class="line"><a name="l01324"></a><span class="lineno"> 1324</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l01325"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a7fc709209f5c53bb354419d4b40ca7bb"> 1325</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a7fc709209f5c53bb354419d4b40ca7bb">store_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#ac8dc6cbe7b5d728373c719d6245194c8">Fragment</a> <span class="keyword">const</span> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a1281f6ab20cc0d3823992b2342371d47">Index</a> pointer_offset) {</div><div class="line"><a name="l01326"></a><span class="lineno"> 1326</span>&#160;    iterator_.store_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l01327"></a><span class="lineno"> 1327</span>&#160;  }</div><div class="line"><a name="l01328"></a><span class="lineno"> 1328</span>&#160;</div><div class="line"><a name="l01330"></a><span class="lineno"> 1330</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l01331"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a172f824e7c92d40894e85f6d0f75e591"> 1331</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a172f824e7c92d40894e85f6d0f75e591">store</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#ac8dc6cbe7b5d728373c719d6245194c8">Fragment</a> <span class="keyword">const</span> &amp;frag) { store_with_pointer_offset(frag, 0); }</div><div class="line"><a name="l01332"></a><span class="lineno"> 1332</span>&#160;};</div><div class="line"><a name="l01333"></a><span class="lineno"> 1333</span>&#160;</div><div class="line"><a name="l01335"></a><span class="lineno"> 1335</span>&#160;</div><div class="line"><a name="l01343"></a><span class="lineno"> 1343</span>&#160;<span class="keyword">template</span> &lt;</div><div class="line"><a name="l01344"></a><span class="lineno"> 1344</span>&#160;  <span class="keyword">typename</span> Shape_,</div><div class="line"><a name="l01345"></a><span class="lineno"> 1345</span>&#160;  <span class="keyword">typename</span> Element_,</div><div class="line"><a name="l01346"></a><span class="lineno"> 1346</span>&#160;  <span class="keywordtype">int</span> AdvanceRank,</div><div class="line"><a name="l01347"></a><span class="lineno"> 1347</span>&#160;  <span class="keyword">typename</span> ThreadMap_,  </div><div class="line"><a name="l01348"></a><span class="lineno"> 1348</span>&#160;  <span class="keywordtype">int</span> Alignment</div><div class="line"><a name="l01349"></a><span class="lineno"> 1349</span>&#160;&gt;</div><div class="line"><a name="l01350"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html"> 1350</a></span>&#160;<span class="keyword">class </span><a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;Shape_, Element_,</div><div class="line"><a name="l01351"></a><span class="lineno"> 1351</span>&#160;                          layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt;</div><div class="line"><a name="l01352"></a><span class="lineno"> 1352</span>&#160;                              sizeof_bits&lt;Element_&gt;::value, Shape_::kColumn&gt;,</div><div class="line"><a name="l01353"></a><span class="lineno"> 1353</span>&#160;                          AdvanceRank, ThreadMap_, Alignment&gt; {</div><div class="line"><a name="l01354"></a><span class="lineno"> 1354</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l01355"></a><span class="lineno"> 1355</span>&#160;  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l01356"></a><span class="lineno"> 1356</span>&#160;      AdvanceRank == 0 || AdvanceRank == 1,</div><div class="line"><a name="l01357"></a><span class="lineno"> 1357</span>&#160;      <span class="stringliteral">&quot;Specialization for row-major iterator may along advance along the &quot;</span></div><div class="line"><a name="l01358"></a><span class="lineno"> 1358</span>&#160;      <span class="stringliteral">&quot;columns(rank=0) or rows(rank=1) dimension.&quot;</span>);</div><div class="line"><a name="l01359"></a><span class="lineno"> 1359</span>&#160;</div><div class="line"><a name="l01360"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a945c14ed3d915d9bbb625d9042c91981"> 1360</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a945c14ed3d915d9bbb625d9042c91981">Shape</a> = Shape_;</div><div class="line"><a name="l01361"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a50df48b4812d26a4568668b6dc0f3a85"> 1361</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a50df48b4812d26a4568668b6dc0f3a85">Element</a> = Element_;</div><div class="line"><a name="l01362"></a><span class="lineno"> 1362</span>&#160;  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCrosswise.html">Layout</a> = <a class="code" href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCrosswise.html">layout::RowMajorVoltaTensorOpMultiplicandCrosswise</a>&lt;</div><div class="line"><a name="l01363"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#ac016e571bdec3872b2479b848419d396"> 1363</a></span>&#160;      <a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits&lt;Element_&gt;::value</a>, Shape::kColumn&gt;;</div><div class="line"><a name="l01364"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a04d8fd36d9d850ff6c4d95cca46b110a"> 1364</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAdvanceRank = AdvanceRank;</div><div class="line"><a name="l01365"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a8adbbe1353bdc33ed9274988881c0abd"> 1365</a></span>&#160;  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kAlignment = Alignment;</div><div class="line"><a name="l01366"></a><span class="lineno"> 1366</span>&#160;</div><div class="line"><a name="l01367"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a6f91a8008d60668bc7757654a34efc48"> 1367</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a6f91a8008d60668bc7757654a34efc48">Index</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCrosswise.html#a783af2d53a8d6a93c878c9ec4ebdd6b1">Layout::Index</a>;</div><div class="line"><a name="l01368"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#ac7957b4618b201a465ccd825b5736576"> 1368</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#ac7957b4618b201a465ccd825b5736576">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCrosswise.html#aea4095c067a1f92f8d65c9f3372de90e">Layout::LongIndex</a>;</div><div class="line"><a name="l01369"></a><span class="lineno"> 1369</span>&#160;</div><div class="line"><a name="l01370"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a5896e7c920b49d667829443519ef7fdc"> 1370</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef&lt;Element, Layout&gt;</a>;</div><div class="line"><a name="l01371"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a633e9bad32b634663daf8236b8ea95e3"> 1371</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a633e9bad32b634663daf8236b8ea95e3">TensorCoord</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1MatrixCoord.html">Layout::TensorCoord</a>;</div><div class="line"><a name="l01372"></a><span class="lineno"> 1372</span>&#160;</div><div class="line"><a name="l01373"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a6ac4c910fe8568b0e3a642c29dcd0283"> 1373</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a6ac4c910fe8568b0e3a642c29dcd0283">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l01374"></a><span class="lineno"> 1374</span>&#160;</div><div class="line"><a name="l01376"></a><span class="lineno"> 1376</span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> = <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a>&lt;</div><div class="line"><a name="l01377"></a><span class="lineno"> 1377</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape&lt;Shape::kColumn, Shape::kRow&gt;</a>, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a50df48b4812d26a4568668b6dc0f3a85">Element</a>,</div><div class="line"><a name="l01378"></a><span class="lineno"> 1378</span>&#160;      <a class="code" href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCrosswise.html">layout::VoltaTensorOpMultiplicandCrosswise&lt;sizeof_bits&lt;Element_&gt;::value</a>,</div><div class="line"><a name="l01379"></a><span class="lineno"> 1379</span>&#160;                                                 Shape::kColumn&gt;,</div><div class="line"><a name="l01380"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a198deb729bc0e7260d254ef0ced2fabd"> 1380</a></span>&#160;      (kAdvanceRank == 0 ? 1 : 0), ThreadMap_&gt;;</div><div class="line"><a name="l01381"></a><span class="lineno"> 1381</span>&#160;</div><div class="line"><a name="l01382"></a><span class="lineno"> 1382</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l01384"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a530b747642baaa77452ed811dd7fbae0"> 1384</a></span>&#160;  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a530b747642baaa77452ed811dd7fbae0">Fragment</a> = Array&lt;Element, UnderlyingIterator::Fragment::kElements&gt;;</div><div class="line"><a name="l01385"></a><span class="lineno"> 1385</span>&#160;</div><div class="line"><a name="l01386"></a><span class="lineno"> 1386</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l01388"></a><span class="lineno"> 1388</span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">UnderlyingIterator</a> iterator_;</div><div class="line"><a name="l01389"></a><span class="lineno"> 1389</span>&#160;</div><div class="line"><a name="l01390"></a><span class="lineno"> 1390</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l01392"></a><span class="lineno"> 1392</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01393"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#ab620e71608ef128668b2ac5cc4cb9abb"> 1393</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#ab620e71608ef128668b2ac5cc4cb9abb">RegularTileIterator</a>(<a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> ref,  </div><div class="line"><a name="l01394"></a><span class="lineno"> 1394</span>&#160;                      <span class="keywordtype">int</span> thread_id   </div><div class="line"><a name="l01395"></a><span class="lineno"> 1395</span>&#160;                      )</div><div class="line"><a name="l01396"></a><span class="lineno"> 1396</span>&#160;      : iterator_({ref.<a class="code" href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">data</a>(), ref.<a class="code" href="classcutlass_1_1TensorRef.html#a191e88bc0fb310be655d700e937ab97c">stride</a>()}, thread_id) {}</div><div class="line"><a name="l01397"></a><span class="lineno"> 1397</span>&#160;</div><div class="line"><a name="l01399"></a><span class="lineno"> 1399</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01400"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#aca4e314975a7dab4e88272d82efc89af"> 1400</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#aca4e314975a7dab4e88272d82efc89af">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#ac7957b4618b201a465ccd825b5736576">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l01401"></a><span class="lineno"> 1401</span>&#160;    iterator_.add_pointer_offset(pointer_offset);</div><div class="line"><a name="l01402"></a><span class="lineno"> 1402</span>&#160;  }</div><div class="line"><a name="l01403"></a><span class="lineno"> 1403</span>&#160;</div><div class="line"><a name="l01405"></a><span class="lineno"> 1405</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l01406"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a5f9d7fd27c538272b2a95e55682007d5"> 1406</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a5f9d7fd27c538272b2a95e55682007d5">add_tile_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a633e9bad32b634663daf8236b8ea95e3">TensorCoord</a> <span class="keyword">const</span> &amp;coord) {</div><div class="line"><a name="l01407"></a><span class="lineno"> 1407</span>&#160;    iterator_.add_tile_offset({coord.column(), coord.row()});</div><div class="line"><a name="l01408"></a><span class="lineno"> 1408</span>&#160;  }</div><div class="line"><a name="l01409"></a><span class="lineno"> 1409</span>&#160;</div><div class="line"><a name="l01411"></a><span class="lineno"> 1411</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01412"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a4213c3f2f4f5ad74701ae936542d6ad6"> 1412</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> &amp;<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a4213c3f2f4f5ad74701ae936542d6ad6">operator++</a>() {</div><div class="line"><a name="l01413"></a><span class="lineno"> 1413</span>&#160;    ++iterator_;</div><div class="line"><a name="l01414"></a><span class="lineno"> 1414</span>&#160;    <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l01415"></a><span class="lineno"> 1415</span>&#160;  }</div><div class="line"><a name="l01416"></a><span class="lineno"> 1416</span>&#160;</div><div class="line"><a name="l01418"></a><span class="lineno"> 1418</span>&#160;  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01419"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#abc2ea2a8705fa16f36e819ada74e2ae5"> 1419</a></span>&#160;  <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#abc2ea2a8705fa16f36e819ada74e2ae5">operator++</a>(<span class="keywordtype">int</span>) {</div><div class="line"><a name="l01420"></a><span class="lineno"> 1420</span>&#160;    <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">RegularTileIterator</a> prev(*<span class="keyword">this</span>);</div><div class="line"><a name="l01421"></a><span class="lineno"> 1421</span>&#160;    ++iterator_;</div><div class="line"><a name="l01422"></a><span class="lineno"> 1422</span>&#160;</div><div class="line"><a name="l01423"></a><span class="lineno"> 1423</span>&#160;    <span class="keywordflow">return</span> prev;</div><div class="line"><a name="l01424"></a><span class="lineno"> 1424</span>&#160;  }</div><div class="line"><a name="l01425"></a><span class="lineno"> 1425</span>&#160;</div><div class="line"><a name="l01427"></a><span class="lineno"> 1427</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l01428"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#af196db1a86dd1f953b54e981340fc937"> 1428</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#af196db1a86dd1f953b54e981340fc937">load_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a530b747642baaa77452ed811dd7fbae0">Fragment</a> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a6f91a8008d60668bc7757654a34efc48">Index</a> pointer_offset) {</div><div class="line"><a name="l01429"></a><span class="lineno"> 1429</span>&#160;    iterator_.load_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l01430"></a><span class="lineno"> 1430</span>&#160;  }</div><div class="line"><a name="l01431"></a><span class="lineno"> 1431</span>&#160;</div><div class="line"><a name="l01433"></a><span class="lineno"> 1433</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l01434"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a203d5f66d31cf121a4f74ad2bed6d660"> 1434</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a203d5f66d31cf121a4f74ad2bed6d660">load</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a530b747642baaa77452ed811dd7fbae0">Fragment</a> &amp;frag) { load_with_pointer_offset(frag, 0); }</div><div class="line"><a name="l01435"></a><span class="lineno"> 1435</span>&#160;</div><div class="line"><a name="l01437"></a><span class="lineno"> 1437</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l01438"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a0056b2e7937bf07363d161024e241a2b"> 1438</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a0056b2e7937bf07363d161024e241a2b">store_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a530b747642baaa77452ed811dd7fbae0">Fragment</a> <span class="keyword">const</span> &amp;frag, <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a6f91a8008d60668bc7757654a34efc48">Index</a> pointer_offset) {</div><div class="line"><a name="l01439"></a><span class="lineno"> 1439</span>&#160;    iterator_.store_with_pointer_offset(frag, pointer_offset);</div><div class="line"><a name="l01440"></a><span class="lineno"> 1440</span>&#160;  }</div><div class="line"><a name="l01441"></a><span class="lineno"> 1441</span>&#160;</div><div class="line"><a name="l01443"></a><span class="lineno"> 1443</span>&#160;  CUTLASS_DEVICE</div><div class="line"><a name="l01444"></a><span class="lineno"><a class="line" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a750b9614cf4de1bd2411374a141bf1be"> 1444</a></span>&#160;  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a750b9614cf4de1bd2411374a141bf1be">store</a>(<a class="code" href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a530b747642baaa77452ed811dd7fbae0">Fragment</a> <span class="keyword">const</span> &amp;frag) { store_with_pointer_offset(frag, 0); }</div><div class="line"><a name="l01445"></a><span class="lineno"> 1445</span>&#160;};</div><div class="line"><a name="l01446"></a><span class="lineno"> 1446</span>&#160;</div><div class="line"><a name="l01447"></a><span class="lineno"> 1447</span>&#160;</div><div class="line"><a name="l01449"></a><span class="lineno"> 1449</span>&#160;</div><div class="line"><a name="l01450"></a><span class="lineno"> 1450</span>&#160;} <span class="comment">// namespace threadblock</span></div><div class="line"><a name="l01451"></a><span class="lineno"> 1451</span>&#160;} <span class="comment">// namespace transform</span></div><div class="line"><a name="l01452"></a><span class="lineno"> 1452</span>&#160;} <span class="comment">// namespace cutlass</span></div><div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_adcc862e0d1925314bfabdcca705ee439"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#adcc862e0d1925314bfabdcca705ee439">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:438</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_a228831d99733ce2cad0c60901c5867e5"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a228831d99733ce2cad0c60901c5867e5">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:769</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandBCongruous_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandBCongruous.html">cutlass::layout::RowMajorVoltaTensorOpMultiplicandBCongruous</a></div><div class="ttdoc">Template mapping a row-major view of pitch-linear memory to VoltaTensorOpMultiplicandCongruous. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:630</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_a283bb753b525a1d2040a2c1649526596"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a283bb753b525a1d2040a2c1649526596">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:775</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandBCongruous_html_a19cf61b364213ff4cccaa75ffbfcac52"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandBCongruous.html#a19cf61b364213ff4cccaa75ffbfcac52">cutlass::layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:537</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_aebe02d3f35ac5a71cb9addfcfe4e75d3"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#aebe02d3f35ac5a71cb9addfcfe4e75d3">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator &amp; operator++()</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:955</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_a530b747642baaa77452ed811dd7fbae0"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a530b747642baaa77452ed811dd7fbae0">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Fragment</a></div><div class="ttdeci">Array&lt; Element, UnderlyingIterator::Fragment::kElements &gt; Fragment</div><div class="ttdoc">Fragment object to be loaded or stored. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1384</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_a6ac4c910fe8568b0e3a642c29dcd0283"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a6ac4c910fe8568b0e3a642c29dcd0283">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1373</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_aac9653d4906b7727409950813caeb56f"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#aac9653d4906b7727409950813caeb56f">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:160</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_abd588d3445a5082d6565e8f306bc3775"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#abd588d3445a5082d6565e8f306bc3775">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1258</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_a937e53430457bdd80a2e9b770c76a163"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a937e53430457bdd80a2e9b770c76a163">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:297</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCongruous_html_a53359179aa16d5e938f097a5df36bb71"><div class="ttname"><a href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCongruous.html#a53359179aa16d5e938f097a5df36bb71">cutlass::layout::VoltaTensorOpMultiplicandCongruous::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:69</div></div>
<div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> aligned_buffer.h:35</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1PitchLinearCoord_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1PitchLinearCoord.html">cutlass::layout::PitchLinearCoord</a></div><div class="ttdoc">Coordinate in pitch-linear space. </div><div class="ttdef"><b>Definition:</b> pitch_linear.h:52</div></div>
<div class="ttc" id="tensor__ref_8h_html"><div class="ttname"><a href="tensor__ref_8h.html">tensor_ref.h</a></div><div class="ttdoc">Defines a structure containing strides, bounds, and a pointer to tensor data. </div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_a6746d191e67af7306beb0b193f634c5d"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a6746d191e67af7306beb0b193f634c5d">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator operator++(int)</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:833</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_a1b07f5faace323f365200325d4527173"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a1b07f5faace323f365200325d4527173">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator operator++(int)</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:963</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_a9d22c23f02e27d377e978a6bd55f2b6c"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a9d22c23f02e27d377e978a6bd55f2b6c">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &amp;frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1315</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_a4980f583fe480dcec46ace1c91049c8a"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a4980f583fe480dcec46ace1c91049c8a">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &amp;frag)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1181</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_a5e8d5d92da5ea80301da988dacdb210c"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a5e8d5d92da5ea80301da988dacdb210c">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1248</div></div>
<div class="ttc" id="classcutlass_1_1TensorRef_html_ac7db3ca62ab1dfe0d3ea08bcadbc9352"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">cutlass::TensorRef::data</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Element * data() const </div><div class="ttdoc">Returns the pointer to referenced data. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:254</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_a945c14ed3d915d9bbb625d9042c91981"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a945c14ed3d915d9bbb625d9042c91981">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1360</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_a78f8a422b799001f2c42659b012b722c"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a78f8a422b799001f2c42659b012b722c">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:432</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_ac31d072822ffb7772afd92e63a24e7b4"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ac31d072822ffb7772afd92e63a24e7b4">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store</a></div><div class="ttdeci">CUTLASS_DEVICE void store(Fragment const &amp;frag)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:522</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_a7e17a70bb1c1e5ed9a4c873e6d7c128e"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a7e17a70bb1c1e5ed9a4c873e6d7c128e">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:562</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_aa497c5741e2c1a12525fd100478ec34b"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#aa497c5741e2c1a12525fd100478ec34b">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:302</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_a346a3d8fa3ad23c1cc6bedf6c4351d83"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a346a3d8fa3ad23c1cc6bedf6c4351d83">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:471</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_ad03960f9dd870a67fd2bf332bd4861b1"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#ad03960f9dd870a67fd2bf332bd4861b1">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:899</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_a7fc94be55b8714caceff52f2d8b5ef7c"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a7fc94be55b8714caceff52f2d8b5ef7c">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store</a></div><div class="ttdeci">CUTLASS_DEVICE void store(Fragment const &amp;frag)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:735</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_a23a16b7dc67ef7523540bb49a4145834"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a23a16b7dc67ef7523540bb49a4145834">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store</a></div><div class="ttdeci">CUTLASS_DEVICE void store(Fragment const &amp;frag)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1219</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCrosswise_html_ab0f9e152320c2785c856965e6e3c02fb"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCrosswise.html#ab0f9e152320c2785c856965e6e3c02fb">cutlass::layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:859</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_aee9d7b9c36438645313b3ecbc0a4250f"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#aee9d7b9c36438645313b3ecbc0a4250f">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:778</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_aa63f6bca8828aceaa50026251b256017"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#aa63f6bca8828aceaa50026251b256017">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &amp;frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:843</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_a54d5221cd27a32f4bfd29cd43160dd94"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a54d5221cd27a32f4bfd29cd43160dd94">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &amp;coord)</div><div class="ttdoc">Adds a tile offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:186</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_a64c6d70cc0b40ffd47d84fffb8fc926c"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a64c6d70cc0b40ffd47d84fffb8fc926c">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:303</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_ab436d46f4dc62169f7be2201ba62d3e1"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#ab436d46f4dc62169f7be2201ba62d3e1">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &amp;frag)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1321</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_ad652b92fa55f51858ed27f41150573da"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ad652b92fa55f51858ed27f41150573da">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:553</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_aa1f14dc11456354f18d325d6002340c3"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#aa1f14dc11456354f18d325d6002340c3">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &amp;frag)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:377</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_a16d6cac906acd65af0137086f8eec3d0"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a16d6cac906acd65af0137086f8eec3d0">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:774</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_a9147d2161f9fb8a5676495369e303c7a"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a9147d2161f9fb8a5676495369e303c7a">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator &amp; operator++()</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:825</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_ab620e71608ef128668b2ac5cc4cb9abb"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#ab620e71608ef128668b2ac5cc4cb9abb">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::RegularTileIterator</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator(TensorRef ref, int thread_id)</div><div class="ttdoc">Construct a TileIterator with zero threadblock offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1393</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_a75c3a995d2c15b28417a8f085defecdc"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a75c3a995d2c15b28417a8f085defecdc">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator &amp; operator++()</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:167</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_a2f670f194227664f39fdcdac863a1a21"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a2f670f194227664f39fdcdac863a1a21">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator &amp; operator++()</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1299</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_ad89c4d02d6e30efa055e7b4eb92c12be"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ad89c4d02d6e30efa055e7b4eb92c12be">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Fragment</a></div><div class="ttdeci">Array&lt; Element, UnderlyingIterator::Fragment::kElements &gt; Fragment</div><div class="ttdoc">Fragment object to be loaded or stored. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:451</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_a54ee29b370e601bde78f597b0ba9df81"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a54ee29b370e601bde78f597b0ba9df81">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &amp;coord)</div><div class="ttdoc">Adds a tile offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1293</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_a19976ce704f0f613b06eaaba9c3ae96e"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a19976ce704f0f613b06eaaba9c3ae96e">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1249</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_a1281f6ab20cc0d3823992b2342371d47"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a1281f6ab20cc0d3823992b2342371d47">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1254</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_a750b9614cf4de1bd2411374a141bf1be"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a750b9614cf4de1bd2411374a141bf1be">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store</a></div><div class="ttdeci">CUTLASS_DEVICE void store(Fragment const &amp;frag)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1444</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_afbba14a30175a61245f2604c85b5f470"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#afbba14a30175a61245f2604c85b5f470">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1041</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_ad4cb2c2ac88421643f548f7979cb5672"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ad4cb2c2ac88421643f548f7979cb5672">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &amp;frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:501</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_a20bbd62f67f815c5b06d2310b3a97083"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a20bbd62f67f815c5b06d2310b3a97083">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Fragment</a></div><div class="ttdeci">Array&lt; Element, UnderlyingIterator::Fragment::kElements &gt; Fragment</div><div class="ttdoc">Fragment object to be loaded or stored. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:321</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandBCongruous_html_aece8bef8b6b52ecafccb265c439a64b0"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandBCongruous.html#aece8bef8b6b52ecafccb265c439a64b0">cutlass::layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:540</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCrosswise_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCrosswise.html">cutlass::layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise</a></div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:848</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_ade707a7b9bf2408919c6b00c1325e05c"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#ade707a7b9bf2408919c6b00c1325e05c">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &amp;frag)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:849</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_af1d98b5df55c8cb8dcf9d832f0efc2b5"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#af1d98b5df55c8cb8dcf9d832f0efc2b5">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void store_with_pointer_offset(Fragment const &amp;frag, Index pointer_offset)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1185</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_ac921a2ca39e59829154ea0d99969b094"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ac921a2ca39e59829154ea0d99969b094">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator &amp; operator++()</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:639</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_aa72dc3870a62c972b4abdb085724d6a0"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#aa72dc3870a62c972b4abdb085724d6a0">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::RegularTileIterator</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator(TensorRef ref, int thread_id)</div><div class="ttdoc">Construct a TileIterator with zero threadblock offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:610</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_a4a54bb93393e60356b42f3b2bf705053"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a4a54bb93393e60356b42f3b2bf705053">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void store_with_pointer_offset(Fragment const &amp;frag, Index pointer_offset)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:703</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_aed83968f30e942628bbe59a36daaa57e"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#aed83968f30e942628bbe59a36daaa57e">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1037</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_ab3aa66518f63977689cb282170608992"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#ab3aa66518f63977689cb282170608992">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:81</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_a9e1c6e07838c14d564324a231b0dbe83"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a9e1c6e07838c14d564324a231b0dbe83">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Fragment</a></div><div class="ttdeci">Array&lt; Element, ThreadMap::Iterations::kCount *Layout::kElementsPerAccess &gt; Fragment</div><div class="ttdoc">Fragment object to be loaded or stored. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:117</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_a586fd5ff1f59a2d5ced307162718d4f1"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a586fd5ff1f59a2d5ced307162718d4f1">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator operator++(int)</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:491</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_ab587fd6ae9417ca3c2125ef6c4c675c9"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ab587fd6ae9417ca3c2125ef6c4c675c9">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:554</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_a0adc056cc8ab3d39f8a023085e9ad8c2"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a0adc056cc8ab3d39f8a023085e9ad8c2">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:86</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_a9ca411260555a8ca68c99c84926a2eb3"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a9ca411260555a8ca68c99c84926a2eb3">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:559</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_a5f9d7fd27c538272b2a95e55682007d5"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a5f9d7fd27c538272b2a95e55682007d5">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &amp;coord)</div><div class="ttdoc">Adds a tile offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1406</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_a20da739cf9f21a7e8768755003f8e965"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a20da739cf9f21a7e8768755003f8e965">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:900</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandBCongruous_html_a25800f82b5edd600b45db3ce69b51ddb"><div class="ttname"><a href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandBCongruous.html#a25800f82b5edd600b45db3ce69b51ddb">cutlass::layout::RowMajorVoltaTensorOpMultiplicandBCongruous::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:642</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1PitchLinearShape_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1PitchLinearShape.html">cutlass::layout::PitchLinearShape</a></div><div class="ttdoc">Template defining a shape used by pitch-linear operators. </div><div class="ttdef"><b>Definition:</b> pitch_linear.h:43</div></div>
<div class="ttc" id="array_8h_html"><div class="ttname"><a href="array_8h.html">array.h</a></div><div class="ttdoc">Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_a2b42db145a79615c5eb6a35c92f06048"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a2b42db145a79615c5eb6a35c92f06048">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::RegularTileIterator</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator(TensorRef ref, int thread_id)</div><div class="ttdoc">Construct a TileIterator with zero threadblock offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:462</div></div>
<div class="ttc" id="cutlass_8h_html_a4b1c9f25ab6eaa25e1f2258dd63e6ce4"><div class="ttname"><a href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="ttdeci">#define CUTLASS_PRAGMA_UNROLL</div><div class="ttdef"><b>Definition:</b> cutlass.h:110</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_afc880ce904dcd61c9e1d1bae56e36ed3"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#afc880ce904dcd61c9e1d1bae56e36ed3">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator operator++(int)</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1306</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_a18d640234ab415c5ee35be033fba2626"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a18d640234ab415c5ee35be033fba2626">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1114</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_aa5226c5b5f90cf8dc54ba015db3ccd9e"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#aa5226c5b5f90cf8dc54ba015db3ccd9e">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:433</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_a122e1ce2540ddaee010ec3958b135bc7"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a122e1ce2540ddaee010ec3958b135bc7">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &amp;coord)</div><div class="ttdoc">Adds a tile offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:477</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_a6f91a8008d60668bc7757654a34efc48"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a6f91a8008d60668bc7757654a34efc48">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1367</div></div>
<div class="ttc" id="namespacecutlass_html_a1c7a9e66ca7b5dc7413ea3b8f349530a"><div class="ttname"><a href="namespacecutlass.html#a1c7a9e66ca7b5dc7413ea3b8f349530a">cutlass::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE half_t &amp; operator++(half_t &amp;lhs)</div><div class="ttdef"><b>Definition:</b> half.h:694</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_a52a5d3c344e34799cc5a837851101901"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a52a5d3c344e34799cc5a837851101901">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:908</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_acbea25deeae1c757df0f3f77d88cd926"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#acbea25deeae1c757df0f3f77d88cd926">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void store_with_pointer_offset(Fragment const &amp;frag, Index pointer_offset)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:985</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_a4213c3f2f4f5ad74701ae936542d6ad6"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a4213c3f2f4f5ad74701ae936542d6ad6">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator &amp; operator++()</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1412</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCongruous_html_a411d7c9444f2d66bf8b8f27d3a6f1226"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCongruous.html#a411d7c9444f2d66bf8b8f27d3a6f1226">cutlass::layout::ColumnMajorVoltaTensorOpMultiplicandCongruous::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:200</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_a282abeeae1ae4da1602597da4d02b5e4"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a282abeeae1ae4da1602597da4d02b5e4">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &amp;coord)</div><div class="ttdoc">Adds a tile offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:658</div></div>
<div class="ttc" id="classcutlass_1_1TensorRef_html_a191e88bc0fb310be655d700e937ab97c"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a191e88bc0fb310be655d700e937ab97c">cutlass::TensorRef::stride</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Stride stride() const </div><div class="ttdoc">Returns the layout object&amp;#39;s stride vector. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:277</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_ab31eb9b6daebee32538b6f3b5e723185"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#ab31eb9b6daebee32538b6f3b5e723185">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store</a></div><div class="ttdeci">CUTLASS_DEVICE void store(Fragment const &amp;frag)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:392</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandBCongruous_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandBCongruous.html">cutlass::layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous</a></div><div class="ttdoc">Template mapping a column-major view of pitch-linear memory to VoltaTensorOpMultiplicandCongruous. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:528</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_ab2f86883c70195c72277741b26577127"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ab2f86883c70195c72277741b26577127">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:428</div></div>
<div class="ttc" id="structcutlass_1_1sizeof__bits_html"><div class="ttname"><a href="structcutlass_1_1sizeof__bits.html">cutlass::sizeof_bits</a></div><div class="ttdoc">Defines the size of an element in bits. </div><div class="ttdef"><b>Definition:</b> numeric_types.h:42</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_a8c7eb83b3252ae487bf8e0fa623c40fa"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a8c7eb83b3252ae487bf8e0fa623c40fa">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &amp;frag)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:979</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_a6f6036167ff8e431d14155b12f5863ba"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a6f6036167ff8e431d14155b12f5863ba">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator &amp; operator++()</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:483</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandBCongruous_html_aced549eda6008715c78b461396c81b87"><div class="ttname"><a href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandBCongruous.html#aced549eda6008715c78b461396c81b87">cutlass::layout::VoltaTensorOpMultiplicandBCongruous::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:405</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_afdafbc55b339cfb30c53e47b851f20b3"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#afdafbc55b339cfb30c53e47b851f20b3">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:90</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_a50df48b4812d26a4568668b6dc0f3a85"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a50df48b4812d26a4568668b6dc0f3a85">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1361</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_ac2ccb3732d24e95444a186167dfc122d"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#ac2ccb3732d24e95444a186167dfc122d">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::RegularTileIterator</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator(TensorRef ref, int thread_id)</div><div class="ttdoc">Construct a TileIterator with zero threadblock offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1280</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_a5235b969e38a3c2b34ff994f39ffbc84"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a5235b969e38a3c2b34ff994f39ffbc84">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &amp;frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:195</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_a172f824e7c92d40894e85f6d0f75e591"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a172f824e7c92d40894e85f6d0f75e591">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store</a></div><div class="ttdeci">CUTLASS_DEVICE void store(Fragment const &amp;frag)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1331</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_a1131e4b7109fc2a28e90ccb852e19103"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a1131e4b7109fc2a28e90ccb852e19103">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:770</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCongruous_html_ac398ab0e518a8e8ff09ca0ee2d58be8c"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCongruous.html#ac398ab0e518a8e8ff09ca0ee2d58be8c">cutlass::layout::ColumnMajorVoltaTensorOpMultiplicandCongruous::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:203</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_a7c7a6e45610678358635f91be8f81798"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a7c7a6e45610678358635f91be8f81798">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &amp;frag)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:697</div></div>
<div class="ttc" id="classcutlass_1_1TensorRef_html"><div class="ttname"><a href="classcutlass_1_1TensorRef.html">cutlass::TensorRef&lt; Element, Layout &gt;</a></div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_a87c93a9ec91224b0ecfa380470559279"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a87c93a9ec91224b0ecfa380470559279">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator operator++(int)</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:176</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_acf73851870e141f73aa1c8c5a251714f"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#acf73851870e141f73aa1c8c5a251714f">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:558</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_a0af90de394f7268c40ca7238a9396b98"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a0af90de394f7268c40ca7238a9396b98">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void store_with_pointer_offset(Fragment const &amp;frag, Index pointer_offset)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:383</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_a122be1aba9d6ea57d355141842303cc4"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a122be1aba9d6ea57d355141842303cc4">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:92</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_aeb46bd11e841065d1aa38936023d93c4"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#aeb46bd11e841065d1aa38936023d93c4">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:943</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_a5bf53d8efe7308dd31e6b1e5b62472aa"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a5bf53d8efe7308dd31e6b1e5b62472aa">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &amp;frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:667</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCrosswise_html_a783af2d53a8d6a93c878c9ec4ebdd6b1"><div class="ttname"><a href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCrosswise.html#a783af2d53a8d6a93c878c9ec4ebdd6b1">cutlass::layout::RowMajorVoltaTensorOpMultiplicandCrosswise::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:951</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_af196db1a86dd1f953b54e981340fc937"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#af196db1a86dd1f953b54e981340fc937">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &amp;frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1428</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_a029bc599107d26ff84ede31a11c7cf7b"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a029bc599107d26ff84ede31a11c7cf7b">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &amp;frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1146</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCongruous_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorVoltaTensorOpMultiplicandCongruous</a></div><div class="ttdoc">Template mapping a row-major view of pitch-linear memory to VoltaTensorOpMultiplicandCongruous. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:293</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_aab27c0089d08ef6168418240f0ad918f"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#aab27c0089d08ef6168418240f0ad918f">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:306</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCongruous_html_afefc0ee1313d3771e6ada7dfe5a1e96c"><div class="ttname"><a href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCongruous.html#afefc0ee1313d3771e6ada7dfe5a1e96c">cutlass::layout::RowMajorVoltaTensorOpMultiplicandCongruous::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:305</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_a7f20199f3f3d48118a35f8d6b43ba0c7"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a7f20199f3f3d48118a35f8d6b43ba0c7">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store</a></div><div class="ttdeci">CUTLASS_DEVICE void store(Fragment const &amp;frag)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:864</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandBCongruous_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandBCongruous.html">cutlass::layout::VoltaTensorOpMultiplicandBCongruous</a></div><div class="ttdoc">Template based on element size (in bits) - defined in terms of pitch-linear memory. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:397</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_adb157d88385527979083330a7f39e746"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#adb157d88385527979083330a7f39e746">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:436</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_a0056b2e7937bf07363d161024e241a2b"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a0056b2e7937bf07363d161024e241a2b">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void store_with_pointer_offset(Fragment const &amp;frag, Index pointer_offset)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1438</div></div>
<div class="ttc" id="cutlass_8h_html_a28c2443a142676d3d71effdae1a986b1"><div class="ttname"><a href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="ttdeci">#define CUTLASS_HOST_DEVICE</div><div class="ttdef"><b>Definition:</b> cutlass.h:89</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_ace7bfa07e726995c4c5478aedb432fd4"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#ace7bfa07e726995c4c5478aedb432fd4">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store</a></div><div class="ttdeci">CUTLASS_DEVICE void store(Fragment const &amp;frag)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:263</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCongruous_html_ae9ab9cba1b0b7e8d73677d27aefe4179"><div class="ttname"><a href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCongruous.html#ae9ab9cba1b0b7e8d73677d27aefe4179">cutlass::layout::RowMajorVoltaTensorOpMultiplicandCongruous::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:302</div></div>
<div class="ttc" id="classcutlass_1_1TensorRef_html_a4166ac2a0754574ac21d5d57d74f34e5"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a4166ac2a0754574ac21d5d57d74f34e5">cutlass::TensorRef::offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE LongIndex offset(TensorCoord const &amp;coord) const </div><div class="ttdoc">Computes the offset of an index from the origin of the tensor. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:301</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_aae78eda22cfd92be06f8397e72abfaf4"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#aae78eda22cfd92be06f8397e72abfaf4">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Fragment</a></div><div class="ttdeci">Array&lt; Element, UnderlyingIterator::Fragment::kElements &gt; Fragment</div><div class="ttdoc">Fragment object to be loaded or stored. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:923</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_abc4b12b3974ae4de423d20ef902e3bf3"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#abc4b12b3974ae4de423d20ef902e3bf3">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::RegularTileIterator</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator(TensorRef ref, int thread_id)</div><div class="ttdoc">Construct a TileIterator with zero threadblock offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1088</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_html"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator.html">cutlass::transform::threadblock::RegularTileIterator</a></div><div class="ttdef"><b>Definition:</b> regular_tile_iterator.h:50</div></div>
<div class="ttc" id="platform_8h_html_adde4c9ea91b753491851361a4198c009"><div class="ttname"><a href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a></div><div class="ttdeci">#define static_assert(__e, __m)</div><div class="ttdef"><b>Definition:</b> platform.h:153</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_a0f2241f86eee4ccfaaa497b3a22bc9fb"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a0f2241f86eee4ccfaaa497b3a22bc9fb">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void store_with_pointer_offset(Fragment const &amp;frag, Index pointer_offset)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:855</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_a633e9bad32b634663daf8236b8ea95e3"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a633e9bad32b634663daf8236b8ea95e3">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::TensorCoord</a></div><div class="ttdeci">typename Layout::TensorCoord TensorCoord</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1371</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_a13a59579b70d828e9f0e8335a0ca7a77"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a13a59579b70d828e9f0e8335a0ca7a77">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:905</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_a203d5f66d31cf121a4f74ad2bed6d660"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#a203d5f66d31cf121a4f74ad2bed6d660">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &amp;frag)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1434</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCongruous_html_aed6da31b1c9467654006afb9154ef4ca"><div class="ttname"><a href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCongruous.html#aed6da31b1c9467654006afb9154ef4ca">cutlass::layout::VoltaTensorOpMultiplicandCongruous::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:72</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_a91fd869836c925de05514626b47ff5d5"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a91fd869836c925de05514626b47ff5d5">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:341</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_a7fc709209f5c53bb354419d4b40ca7bb"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a7fc709209f5c53bb354419d4b40ca7bb">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void store_with_pointer_offset(Fragment const &amp;frag, Index pointer_offset)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1325</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCrosswise_html_a064fd090cbaa1e359bc44e6edcbf7cde"><div class="ttname"><a href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCrosswise.html#a064fd090cbaa1e359bc44e6edcbf7cde">cutlass::layout::VoltaTensorOpMultiplicandCrosswise::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:741</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_a675319e010669e8e92797d291e1dedcf"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a675319e010669e8e92797d291e1dedcf">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &amp;coord)</div><div class="ttdoc">Adds a tile offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:819</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_aff554d9b5ad7ef5a084d6e123a1cedb5"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#aff554d9b5ad7ef5a084d6e123a1cedb5">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &amp;frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:973</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_a5192c591e557e9ebc127d274de64d7d6"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a5192c591e557e9ebc127d274de64d7d6">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:427</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCrosswise_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCrosswise.html">cutlass::layout::VoltaTensorOpMultiplicandCrosswise</a></div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:733</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_ae2c03da917e57566ab519a65a3786e22"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ae2c03da917e57566ab519a65a3786e22">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:564</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_a12a91fa23318456dd5efe4673d615d9d"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a12a91fa23318456dd5efe4673d615d9d">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator operator++(int)</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1129</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCrosswise_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCrosswise.html">cutlass::layout::RowMajorVoltaTensorOpMultiplicandCrosswise</a></div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:943</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandBCongruous_html_a80908838bd1135f03e37d342a140bc34"><div class="ttname"><a href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandBCongruous.html#a80908838bd1135f03e37d342a140bc34">cutlass::layout::RowMajorVoltaTensorOpMultiplicandBCongruous::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:639</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_af66b203bacaabdfe217f003dc256ba7a"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#af66b203bacaabdfe217f003dc256ba7a">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::RegularTileIterator</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator(TensorRef ref, int thread_id)</div><div class="ttdoc">Construct a TileIterator with zero threadblock offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:332</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_a4a0a3c232c8eb6e6bf1fb4be14ff46c2"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a4a0a3c232c8eb6e6bf1fb4be14ff46c2">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1043</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_ac62024dc83499eda71c567193aebd733"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#ac62024dc83499eda71c567193aebd733">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:632</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCrosswise_html_a61455b7fac8d838b05b8d0c3cf6b5b12"><div class="ttname"><a href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCrosswise.html#a61455b7fac8d838b05b8d0c3cf6b5b12">cutlass::layout::VoltaTensorOpMultiplicandCrosswise::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:744</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_ae4dc48ecdcd3b406b2f1cbdb667a2d4e"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#ae4dc48ecdcd3b406b2f1cbdb667a2d4e">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:87</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_a767897c840aab2389335067cdbdc1b02"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a767897c840aab2389335067cdbdc1b02">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:298</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCrosswise_html_aea4095c067a1f92f8d65c9f3372de90e"><div class="ttname"><a href="structcutlass_1_1layout_1_1RowMajorVoltaTensorOpMultiplicandCrosswise.html#aea4095c067a1f92f8d65c9f3372de90e">cutlass::layout::RowMajorVoltaTensorOpMultiplicandCrosswise::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:954</div></div>
<div class="ttc" id="matrix__coord_8h_html"><div class="ttname"><a href="matrix__coord_8h.html">matrix_coord.h</a></div><div class="ttdoc">Defines a canonical coordinate for rank=2 matrices offering named indices. </div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_a712e63fc221198ed9c2e3a3790f235de"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a712e63fc221198ed9c2e3a3790f235de">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator &amp; operator++()</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:353</div></div>
<div class="ttc" id="regular__tile__iterator_8h_html"><div class="ttname"><a href="regular__tile__iterator_8h.html">regular_tile_iterator.h</a></div><div class="ttdoc">Templates implementing storing of tiles from pitch-linear rank=2 tensors. </div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_a7e6c3e5c3c19dfb01477cd1786c5d690"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a7e6c3e5c3c19dfb01477cd1786c5d690">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1260</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_a6d8622732af94302d10263956e0a8366"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a6d8622732af94302d10263956e0a8366">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &amp;frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:371</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_a7ef5179297052d9e7cfd601ae4d96be8"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a7ef5179297052d9e7cfd601ae4d96be8">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &amp;coord)</div><div class="ttdoc">Adds a tile offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:347</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_a94e8cc78e38dca1afa16ee123e8c7033"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a94e8cc78e38dca1afa16ee123e8c7033">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:904</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_a6ef6f84582618c4f12ba86baaba9f596"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a6ef6f84582618c4f12ba86baaba9f596">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:82</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_a467c23b169f239149bac34a70210196e"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a467c23b169f239149bac34a70210196e">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:308</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_a44ceeee968a7737d70065e0060652a8a"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a44ceeee968a7737d70065e0060652a8a">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1030</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_abc2ea2a8705fa16f36e819ada74e2ae5"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#abc2ea2a8705fa16f36e819ada74e2ae5">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator operator++(int)</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1419</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_aca4e314975a7dab4e88272d82efc89af"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#aca4e314975a7dab4e88272d82efc89af">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1400</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_a330fabf75d4870a68586b3cd154eca20"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a330fabf75d4870a68586b3cd154eca20">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1287</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_aa25688dc514473a44efd54e13c53652a"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#aa25688dc514473a44efd54e13c53652a">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:780</div></div>
<div class="ttc" id="pitch__linear_8h_html"><div class="ttname"><a href="pitch__linear_8h.html">pitch_linear.h</a></div><div class="ttdoc">Defines layout functions used by TensorRef and derived classes for pitch-linear memory. </div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_ac8dc6cbe7b5d728373c719d6245194c8"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#ac8dc6cbe7b5d728373c719d6245194c8">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Fragment</a></div><div class="ttdeci">Array&lt; Element, UnderlyingIterator::Fragment::kElements &gt; Fragment</div><div class="ttdoc">Fragment object to be loaded or stored. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1271</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0_html_ac7957b4618b201a465ccd825b5736576"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01b3fa5720e807697de61b9f937b269cd0.html#ac7957b4618b201a465ccd825b5736576">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kColumn &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1368</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_acdcedb26b30985f59a77ddb49b1abe27"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#acdcedb26b30985f59a77ddb49b1abe27">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Fragment</a></div><div class="ttdeci">Array&lt; Element, UnderlyingIterator::Fragment::kElements &gt; Fragment</div><div class="ttdoc">Fragment object to be loaded or stored. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:793</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_ab9775aac1bf8f19558e0ac69d5224155"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#ab9775aac1bf8f19558e0ac69d5224155">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &amp;coord)</div><div class="ttdoc">Adds a tile offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:949</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCrosswise_html_a7f6ef66932fda16f2784dd2a1e224ca5"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCrosswise.html#a7f6ef66932fda16f2784dd2a1e224ca5">cutlass::layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:856</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_a6c77ded2a6b2d3e0991f6c49eff57110"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a6c77ded2a6b2d3e0991f6c49eff57110">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void store_with_pointer_offset(Fragment const &amp;frag, Index pointer_offset)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:231</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_ac23159bd969188e7a0bf7be74c36b4a2"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#ac23159bd969188e7a0bf7be74c36b4a2">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &amp;frag)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:507</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCongruous_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1ColumnMajorVoltaTensorOpMultiplicandCongruous.html">cutlass::layout::ColumnMajorVoltaTensorOpMultiplicandCongruous</a></div><div class="ttdoc">Template mapping a column-major view of pitch-linear memory to VoltaTensorOpMultiplicandCongruous. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:191</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_a80e81680397d7ba1d090c6b2ec2e8e1a"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a80e81680397d7ba1d090c6b2ec2e8e1a">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:910</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_a7d4a8912eb0628cbf528120010829bd1"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a7d4a8912eb0628cbf528120010829bd1">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store</a></div><div class="ttdeci">CUTLASS_DEVICE void store(Fragment const &amp;frag)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:994</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_a7badfbaa27bb5f3086cafa89d8c4a945"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a7badfbaa27bb5f3086cafa89d8c4a945">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator operator++(int)</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:648</div></div>
<div class="ttc" id="tensor__op__multiplicand__sm70_8h_html"><div class="ttname"><a href="tensor__op__multiplicand__sm70_8h.html">tensor_op_multiplicand_sm70.h</a></div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_a134de9f5c72872a443ce7a051df6f489"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#a134de9f5c72872a443ce7a051df6f489">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::RegularTileIterator</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator(TensorRef ref, int thread_id)</div><div class="ttdoc">Construct a TileIterator with zero threadblock offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:138</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_a78fb04addeb4a04ac8446c52c3c62b59"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a78fb04addeb4a04ac8446c52c3c62b59">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1038</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a_html_a899479086f0e85835ba7e04113e276e5"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01793f74bfd8f116a827948ab01a37349a.html#a899479086f0e85835ba7e04113e276e5">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator operator++(int)</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:361</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandBCongruous_html_a635537ca830a3f621ed99ab323b1e7f1"><div class="ttname"><a href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandBCongruous.html#a635537ca830a3f621ed99ab323b1e7f1">cutlass::layout::VoltaTensorOpMultiplicandBCongruous::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:408</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_af6d2419d25603c23132d47972ad7a966"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#af6d2419d25603c23132d47972ad7a966">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &amp;coord)</div><div class="ttdoc">Adds a tile offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1138</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_a6bb1b49203f861013b8719866d4eefdb"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a6bb1b49203f861013b8719866d4eefdb">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Fragment</a></div><div class="ttdeci">Array&lt; Element, ThreadMap::Iterations::kCount *ThreadMap::kElementsPerAccess &gt; Fragment</div><div class="ttdoc">Fragment object to be loaded or stored. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1066</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_a7836aee3685b7768c3e41460d2655893"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a7836aee3685b7768c3e41460d2655893">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1031</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d_html_a2e23610a2482c75bc33b4a13bbfaf6eb"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01a75d2cd74e722d6ad6a3b41aabfd432d.html#a2e23610a2482c75bc33b4a13bbfaf6eb">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::Fragment</a></div><div class="ttdeci">Array&lt; Element, ThreadMap::Iterations::kCount *Layout::kElementsPerAccess &gt; Fragment</div><div class="ttdoc">Fragment object to be loaded or stored. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:589</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8_html_a85400ab2e85a66ee6acbc58f43bc93e1"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f6f6511b5033cad31083644ac69c54d8.html#a85400ab2e85a66ee6acbc58f43bc93e1">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void store_with_pointer_offset(Fragment const &amp;frag, Index pointer_offset)</div><div class="ttdoc">Store a fragment to memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:513</div></div>
<div class="ttc" id="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCongruous_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1VoltaTensorOpMultiplicandCongruous.html">cutlass::layout::VoltaTensorOpMultiplicandCongruous</a></div><div class="ttdoc">Template based on element size (in bits) - defined in terms of pitch-linear memory. </div><div class="ttdef"><b>Definition:</b> tensor_op_multiplicand_sm70.h:60</div></div>
<div class="ttc" id="cutlass_8h_html"><div class="ttname"><a href="cutlass_8h.html">cutlass.h</a></div><div class="ttdoc">Basic include for CUTLASS. </div></div>
<div class="ttc" id="structcutlass_1_1MatrixCoord_html"><div class="ttname"><a href="structcutlass_1_1MatrixCoord.html">cutlass::MatrixCoord</a></div><div class="ttdef"><b>Definition:</b> matrix_coord.h:39</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d_html_a4c762f53f401653ff9b7e2d2da03149a"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01bd31b3810c1fedf2e7e5959ff92b5d3d.html#a4c762f53f401653ff9b7e2d2da03149a">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kRow &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1255</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e_html_adab44e485f531c6caa8c812d4b6a6946"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01f96bbeb63e6d4ce4a2551279de3a9f0e.html#adab44e485f531c6caa8c812d4b6a6946">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &amp;frag)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:225</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_a25253a14817a446458b519e368d41d11"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#a25253a14817a446458b519e368d41d11">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::RegularTileIterator</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator(TensorRef ref, int thread_id)</div><div class="ttdoc">Construct a TileIterator with zero threadblock offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:804</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5_html_a0d0e54f204b90ddf9af598655441864b"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_0104ad31bd559a88cc418ae1cab7492ed5.html#a0d0e54f204b90ddf9af598655441864b">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::RowMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::RegularTileIterator</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator(TensorRef ref, int thread_id)</div><div class="ttdoc">Construct a TileIterator with zero threadblock offset. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:934</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123_html_a43f7bbb7a5ee381a159015d789bb1d4a"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01dbd6b8468d5bd787308d2f615a24d123.html#a43f7bbb7a5ee381a159015d789bb1d4a">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::VoltaTensorOpMultiplicandCrosswise&lt; sizeof_bits&lt; Element_ &gt;::value, Shape_::kContiguous &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::operator++</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE RegularTileIterator &amp; operator++()</div><div class="ttdoc">Advances to the next tile in memory. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:1120</div></div>
<div class="ttc" id="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0_html_abc58a4088cce507092299d678a2995fc"><div class="ttname"><a href="classcutlass_1_1transform_1_1threadblock_1_1RegularTileIterator_3_01Shape___00_01Element___00_01187f8574e1fe9d7d5e8fbf09bd834bf0.html#abc58a4088cce507092299d678a2995fc">cutlass::transform::threadblock::RegularTileIterator&lt; Shape_, Element_, layout::ColumnMajorVoltaTensorOpMultiplicandBCongruous&lt; sizeof_bits&lt; Element_ &gt;::value &gt;, AdvanceRank, ThreadMap_, Alignment &gt;::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> regular_tile_iterator_tensor_op_sm70.h:813</div></div>
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